%%% -*-BibTeX-*- %%% ==================================================================== %%% BibTeX-file{ %%% author = "Nelson H. F. Beebe", %%% version = "1.06", %%% date = "30 April 2024", %%% time = "11:10:50 MST", %%% filename = "toch.bib", %%% address = "University of Utah %%% Department of Mathematics, 110 LCB %%% 155 S 1400 E RM 233 %%% Salt Lake City, UT 84112-0090 %%% USA", %%% telephone = "+1 801 581 5254", %%% FAX = "+1 801 581 4148", %%% URL = "http://www.math.utah.edu/~beebe", %%% checksum = "13561 4663 20483 200413", %%% email = "beebe at math.utah.edu, beebe at acm.org, %%% beebe at computer.org (Internet)", %%% codetable = "ISO/ASCII", %%% keywords = "ACM Transactions on Computing for Healthcare %%% (HEALTH); bibliography; BibTeX", %%% license = "public domain", %%% supported = "yes", %%% docstring = "This is a COMPLETE BibTeX bibliography for %%% ACM Transactions on Computing for Healthcare %%% (HEALTH) (CODEN ????, ISSN 2691-1914 (print), %%% 2577-6207 (electronic)). The journal appears %%% quarterly, and publication began with volume %%% 1, number 1, in February 2020. %%% %%% At version 1.06, the COMPLETE journal %%% coverage looked like this: %%% %%% 2020 ( 26) 2022 ( 49) 2024 ( 12) %%% 2021 ( 36) 2023 ( 24) %%% %%% Article: 147 %%% %%% Total entries: 147 %%% %%% The journal Web page can be found at: %%% %%% https://dl.acm.org/journal/health %%% %%% The journal table of contents page is at: %%% %%% https://dl.acm.org/loi/health %%% %%% Qualified subscribers can retrieve the full %%% text of recent articles in PDF form. %%% %%% The initial draft was extracted from the ACM %%% Web pages. %%% %%% ACM copyrights explicitly permit abstracting %%% with credit, so article abstracts, keywords, %%% and subject classifications have been %%% included in this bibliography wherever %%% available. Article reviews have been %%% omitted, until their copyright status has %%% been clarified. %%% %%% URL keys in the bibliography point to %%% World Wide Web locations of additional %%% information about the entry. %%% %%% BibTeX citation tags are uniformly chosen %%% as name:year:abbrev, where name is the %%% family name of the first author or editor, %%% year is a 4-digit number, and abbrev is a %%% 3-letter condensation of important title %%% words. Citation tags were automatically %%% generated by software developed for the %%% BibNet Project. %%% %%% In this bibliography, entries are sorted in %%% publication order, using ``bibsort -byvolume.'' %%% %%% The checksum field above contains a CRC-16 %%% checksum as the first value, followed by the %%% equivalent of the standard UNIX wc (word %%% count) utility output of lines, words, and %%% characters. This is produced by Robert %%% Solovay's checksum utility.", %%% } %%% ==================================================================== @Preamble{"\input bibnames.sty" # "\ifx \undefined \booktitle \def \booktitle #1{{{\em #1}}} \fi" # "\ifx \undefined \TM \def \TM {${}^{\sc TM}$} \fi" } %%% ==================================================================== %%% Acknowledgement abbreviations: @String{ack-nhfb = "Nelson H. F. Beebe, University of Utah, Department of Mathematics, 110 LCB, 155 S 1400 E RM 233, Salt Lake City, UT 84112-0090, USA, Tel: +1 801 581 5254, FAX: +1 801 581 4148, e-mail: \path|beebe@math.utah.edu|, \path|beebe@acm.org|, \path|beebe@computer.org| (Internet), URL: \path|http://www.math.utah.edu/~beebe/|"} %%% ==================================================================== %%% Journal abbreviations: @String{j-TOCH = "ACM Transactions on Computing for Healthcare (HEALTH)"} %%% ==================================================================== %%% Bibliography entries: @Article{Stankovic:2020:IIE, author = "John A. Stankovic and Insup Lee", title = "Inaugural Issue Editorial", journal = j-TOCH, volume = "1", number = "1", pages = "1:1--1:1", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3375711", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3375711", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Mahajan:2020:THW, author = "Aman Mahajan and Gregory Pottie and William Kaiser", title = "Transformation in Healthcare by Wearable Devices for Diagnostics and Guidance of Treatment", journal = j-TOCH, volume = "1", number = "1", pages = "2:1--2:12", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3361561", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3361561", abstract = "Wearable devices offer a promise of immense impact on worldwide global health by offering the potential for non-invasive, constantly vigilant, and low-cost monitoring of individual condition and fundamental advances in guiding healthcare. The urgency of \ldots{}", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Bellot:2020:FML, author = "Alexis Bellot and Mihaela {Van Der Schaar}", title = "Flexible Modelling of Longitudinal Medical Data: a {Bayesian} Nonparametric Approach", journal = j-TOCH, volume = "1", number = "1", pages = "3:1--3:15", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3377164", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3377164", abstract = "Using electronic medical records to learn personalized risk trajectories poses significant challenges because often very few samples are available in a patient's history, and, when available, their information content is highly diverse. In this article, \ldots{}", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Nosakhare:2020:TAR, author = "Ehimwenma Nosakhare and Rosalind Picard", title = "Toward Assessing and Recommending Combinations of Behaviors for Improving Health and Well-Being", journal = j-TOCH, volume = "1", number = "1", pages = "4:1--4:29", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3368958", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3368958", abstract = "Multiple behaviors typically work together to influence health, making it hard to understand how one behavior might compensate for another. Rich multi-modal datasets from mobile sensors and advances in machine learning are today enabling new kinds of \ldots{}", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Li:2020:FSM, author = "Dingwen Li and Jay Vaidya and Michael Wang and Ben Bush and Chenyang Lu and Marin Kollef and Thomas Bailey", title = "Feasibility Study of Monitoring Deterioration of Outpatients Using Multimodal Data Collected by Wearables", journal = j-TOCH, volume = "1", number = "1", pages = "5:1--5:22", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3344256", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3344256", abstract = "In the article, we explore the feasibility of monitoring outpatients using Fitbit Charge HR wristbands and the potential of machine learning models to predict clinical deterioration (readmissions and death) among outpatients discharged from the \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Jin:2020:CIC, author = "Zhuochen Jin and Shuyuan Cui and Shunan Guo and David Gotz and Jimeng Sun and Nan Cao", title = "{CarePre}: an Intelligent Clinical Decision Assistance System", journal = j-TOCH, volume = "1", number = "1", pages = "6:1--6:20", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3344258", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3344258", abstract = "Clinical decision support systems are widely used to assist with medical decision making. However, clinical decision support systems typically require manually curated rules and other data that are difficult to maintain and keep up to date. Recent \ldots{}", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Amiri:2020:CAS, author = "Delaram Amiri and Arman Anzanpour and Iman Azimi and Marco Levorato and Pasi Liljeberg and Nikil Dutt and Amir M. Rahmani", title = "Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems", journal = j-TOCH, volume = "1", number = "2", pages = "7:1--7:25", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3351286", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3351286", abstract = "Healthcare applications supported by the Internet of Things enable personalized monitoring of a patient in everyday settings. Such applications often consist of battery-powered sensors coupled to smart gateways at the edge layer. Smart gateways offer \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Mishra:2020:CDP, author = "Varun Mishra and Gunnar Pope and Sarah Lord and Stephanie Lewia and Byron Lowens and Kelly Caine and Sougata Sen and Ryan Halter and David Kotz", title = "Continuous Detection of Physiological Stress with Commodity Hardware", journal = j-TOCH, volume = "1", number = "2", pages = "8:1--8:30", month = apr, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3361562", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Wed Jul 8 18:08:11 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3361562", abstract = "Timely detection of an individual's stress level has the potential to improve stress management, thereby reducing the risk of adverse health consequences that may arise due to mismanagement of stress. Recent advances in wearable sensing have resulted in \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Sun:2020:HPT, author = "Xuetong Sun and Sarah B. Murthi and Gary Schwartzbauer and Amitabh Varshney", title = "High-Precision {5DoF} Tracking and Visualization of Catheter Placement in {EVD} of the Brain Using {AR}", journal = j-TOCH, volume = "1", number = "2", pages = "9:1--9:18", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3365678", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3365678", abstract = "External ventricular drainage (EVD) is a high-risk medical procedure that involves inserting a catheter inside a patient's skull, through the brain and into a ventricle, to drain cerebrospinal fluid and thus relieve elevated intracranial pressure. Once \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Yom-Tov:2020:SCU, author = "Elad Yom-Tov", title = "Screening for Cancer Using a Learning {Internet} Advertising System", journal = j-TOCH, volume = "1", number = "2", pages = "10:1--10:13", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3373720", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3373720", abstract = "Studies have shown that search engine queries are indicative of future diagnosis of several types of cancer. These studies were based on self-identification of illness and were limited in that diagnostic information could not be shared with screened \ldots{}", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Meyer:2020:LDC, author = "Jochen Meyer and Judy Kay and Daniel A. Epstein and Parisa Eslambolchilar and Lie Ming Tang", title = "A Life of Data: Characteristics and Challenges of Very Long Term Self-Tracking for Health and Wellness", journal = j-TOCH, volume = "1", number = "2", pages = "11:1--11:4", month = mar, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3373719", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 7 12:00:22 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3373719", abstract = "As self-tracking has evolved from a niche movement to a mass-market phenomenon, it has become possible for people to track a broad range of activities and vital parameters over years, even decades. The associated opportunities, as well as the challenges,. \ldots{}", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wang:2020:CBV, author = "Xuyu Wang and Chao Yang and Shiwen Mao", title = "On {CSI}-Based Vital Sign Monitoring Using Commodity {WiFi}", journal = j-TOCH, volume = "1", number = "3", pages = "12:1--12:27", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3377165", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3377165", abstract = "Vital signs, such as respiration and heartbeat, are useful for health monitoring because such signals provide important clues of medical conditions. Effective solutions are needed to provide contact-free, easy deployment, low-cost, and long-term vital \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Chikka:2020:CCM, author = "Veera Raghavendra Chikka and Kamalakar Karlapalem", title = "Conformance Checking Methodology Across Discharge Summaries and Standard Treatment Guidelines", journal = j-TOCH, volume = "1", number = "3", pages = "13:1--13:19", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3377328", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3377328", abstract = "Conformance checking of treatment plans in discharge summary data would facilitate the development of clinical decision support system, treatment plan quality assurance, and new treatment plan discovery. Conformance checking requires extraction of \ldots{}", acknowledgement = ack-nhfb, articleno = "13", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Bhatia:2020:IIS, author = "Munish Bhatia and Simranpreet Kaur and Sandeep K. Sood", title = "{IoT}-Inspired Smart Toilet System for Home-Based Urine Infection Prediction", journal = j-TOCH, volume = "1", number = "3", pages = "14:1--14:25", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3379506", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3379506", abstract = "The healthcare industry is the premier domain that has been significantly influenced by incorporation of Internet of Things (IoT) technology resulting in smart healthcare application. Inspired by the enormous potential of IoT technology, this research \ldots{}", acknowledgement = ack-nhfb, articleno = "14", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Goldstein:2020:TFF, author = "Orpaz Goldstein and Mohammad Kachuee and Kimmo Karkkainen and Majid Sarrafzadeh", title = "Target-Focused Feature Selection Using Uncertainty Measurements in Healthcare Data", journal = j-TOCH, volume = "1", number = "3", pages = "15:1--15:17", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3383685", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3383685", abstract = "Healthcare big data remains under-utilized due to various incompatibility issues between the domains of data analytics and healthcare. The lack of generalizable iterative feature acquisition methods under budget and machine learning models that allow \ldots{}", acknowledgement = ack-nhfb, articleno = "15", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Herrlich:2020:PNT, author = "Marc Herrlich and Anke V. Reinschluessel and Markus Willems and Nils Langhorst and David Black and Tanja D{\"o}ring and Christian Rieder and Ron Kikinis and Rainer Malaka", title = "Put That Needle There: Customized Flexible On-Body Thin-Film Displays for Medical Navigation", journal = j-TOCH, volume = "1", number = "3", pages = "16:1--16:17", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3386307", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3386307", abstract = "Informed by modern imaging techniques, current medical navigation systems support physicians during a variety of interventions, such as needle-based operations. During these, an abundance of information is often displayed on monitors placed in positions \ldots{}", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Thambawita:2020:ESC, author = "Vajira Thambawita and Debesh Jha and Hugo Lewi Hammer and H{\aa}vard D. Johansen and Dag Johansen and P{\aa}l Halvorsen and Michael A. Riegler", title = "An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning Applied to Gastrointestinal Tract Abnormality Classification", journal = j-TOCH, volume = "1", number = "3", pages = "17:1--17:29", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3386295", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3386295", abstract = "Precise and efficient automated identification of gastrointestinal (GI) tract diseases can help doctors treat more patients and improve the rate of disease detection and identification. Currently, automatic analysis of diseases in the GI tract is a hot \ldots{}", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Hussein:2020:ADA, author = "Amir Hussein and Marc Djandji and Reem A. Mahmoud and Mohamad Dhaybi and Hazem Hajj", title = "Augmenting {DL} with Adversarial Training for Robust Prediction of Epilepsy Seizures", journal = j-TOCH, volume = "1", number = "3", pages = "18:1--18:18", month = jul, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3386580", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Aug 9 12:29:04 MDT 2020", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/abs/10.1145/3386580", abstract = "Epilepsy is a chronic medical condition that involves abnormal brain activity causing patients to lose control of awareness or motor activity. As a result, detection of pre-ictal states, before the onset of a seizure, can be lifesaving. The problem is \ldots{}", acknowledgement = ack-nhfb, articleno = "18", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kotz:2020:ISI, author = "David Kotz and Guoliang Xing", title = "Introduction to the Special Issue on the Wearable Technologies for Smart Health", journal = j-TOCH, volume = "1", number = "4", pages = "19:1--19:2", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3423967", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3423967", acknowledgement = ack-nhfb, articleno = "19", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wang:2020:EAE, author = "Zhu Wang and Zhiwen Yu and Bobo Zhao and Bin Guo and Chao Chen and Zhiyong Yu", title = "{EmotionSense}: an Adaptive Emotion Recognition System Based on Wearable Smart Devices", journal = j-TOCH, volume = "1", number = "4", pages = "20:1--20:17", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3384394", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3384394", abstract = "With the recent surge of smart wearable devices, it is possible to obtain the physiological and behavioral data of human beings in a more convenient and non-invasive manner. Based on such data, researchers have developed a variety of systems or \ldots{}", acknowledgement = ack-nhfb, articleno = "20", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Aggarwal:2020:PDU, author = "Deepti Aggarwal and Bernd Ploderer and Thuong Hoang and Frank Vetere and Mark Bradford", title = "Physiotherapy Over a Distance: The Use of Wearable Technology for Video Consultations in Hospital Settings", journal = j-TOCH, volume = "1", number = "4", pages = "21:1--21:29", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3383305", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3383305", abstract = "Wearable technologies offer potential in supporting assessment of lower limb movements in video consultations, which otherwise are challenging to assess. Yet there remains a limited understanding of how such technologies can be used to improve video \ldots{}", acknowledgement = ack-nhfb, articleno = "21", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Elor:2020:SSC, author = "Aviv Elor and Michael Powell and Evanjelin Mahmoodi and Nico Hawthorne and Mircea Teodorescu and Sri Kurniawan", title = "On Shooting Stars: Comparing {CAVE} and {HMD} Immersive Virtual Reality Exergaming for Adults with Mixed Ability", journal = j-TOCH, volume = "1", number = "4", pages = "22:1--22:22", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3396249", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3396249", abstract = "Inactivity and a lack of engagement with exercise is a pressing health problem in the United States and beyond. Immersive Virtual Reality (iVR) is a promising medium to motivate users through engaging virtual environments. Currently, modern iVR lacks a \ldots{}", acknowledgement = ack-nhfb, articleno = "22", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Li:2020:MER, author = "Chun-Tung Li and Jiannong Cao and Xue Liu and Milos Stojmenovic", title = "{mSIMPAD}: Efficient and Robust Mining of Successive Similar Patterns of Multiple Lengths in Time Series", journal = j-TOCH, volume = "1", number = "4", pages = "23:1--23:19", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3396250", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3396250", abstract = "A successive similar pattern (SSP) is a series of similar sequences that occur consecutively at non-regular intervals in time series. Mining SSPs could provide valuable information without a priori knowledge, which is crucial in many applications \ldots{}", acknowledgement = ack-nhfb, articleno = "23", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Sharma:2020:IWR, author = "Surya Sharma and Phillip Jasper and Eric Muth and Adam Hoover", title = "The Impact of Walking and Resting on Wrist Motion for Automated Detection of Meals", journal = j-TOCH, volume = "1", number = "4", pages = "24:1--24:19", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3407623", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3407623", abstract = "This article considers detecting eating in free-living humans by tracking wrist motion. We are specifically interested in the effect of secondary activities that people conduct while simultaneously eating, such as walking, watching television, or \ldots{}", acknowledgement = ack-nhfb, articleno = "24", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Vargemidis:2020:WPA, author = "Dimitri Vargemidis and Kathrin Gerling and Katta Spiel and Vero {Vanden Abeele} and Luc Geurts", title = "Wearable Physical Activity Tracking Systems for Older Adults --- a Systematic Review", journal = j-TOCH, volume = "1", number = "4", pages = "25:1--25:37", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3402523", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3402523", abstract = "Physical activity (PA) positively impacts the quality of life of older adults, with technology as a promising factor in maintaining motivation. Within Computer Science and Engineering, research investigates how to track PA of older adults for various \ldots{}", acknowledgement = ack-nhfb, articleno = "25", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Makitalo:2020:HDM, author = "Niko M{\"a}kitalo and Daniel Flores-Martin and Huber Flores and Eemil Lagerspetz and Francois Christophe and Petri Ihantola and Masiar Babazadeh and Pan Hui and Juan Manuel Murillo and Sasu Tarkoma and Tommi Mikkonen", title = "Human Data Model: Improving Programmability of Health and Well-Being Data for Enhanced Perception and Interaction", journal = j-TOCH, volume = "1", number = "4", pages = "26:1--26:39", month = dec, year = "2020", CODEN = "????", DOI = "https://doi.org/10.1145/3402524", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:26 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3402524", abstract = "Today, an increasing number of systems produce, process, and store personal and intimate data. Such data has plenty of potential for entirely new types of software applications, as well as for improving old applications, particularly in the domain of \ldots{}", acknowledgement = ack-nhfb, articleno = "26", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kotz:2021:ISI, author = "David Kotz and Guoliang Xing", title = "Introduction to the Special Issue on the Wearable Technologies for Smart Health, {Part 2}", journal = j-TOCH, volume = "2", number = "1", pages = "1:1--1:2", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3442350", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3442350", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Khan:2021:GES, author = "Aftab Khan and Sebastian Mellor and Rachel King and Balazs Janko and William Harwin and R. Simon Sherratt and Ian Craddock and Thomas Pl{\"o}tz", title = "Generalized and Efficient Skill Assessment from {IMU} Data with Applications in Gymnastics and Medical Training", journal = j-TOCH, volume = "2", number = "1", pages = "2:1--2:21", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3422168", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3422168", abstract = "Human activity recognition is progressing from automatically determining what a person is doing and when, to additionally analyzing the quality of these activities-typically referred to as skill assessment. In this chapter, we propose a new framework \ldots{}", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Jourdan:2021:PPI, author = "Theo Jourdan and Antoine Boutet and Amine Bahi and Carole Frindel", title = "Privacy-preserving {IoT} Framework for Activity Recognition in Personal Healthcare Monitoring", journal = j-TOCH, volume = "2", number = "1", pages = "3:1--3:22", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3416947", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3416947", abstract = "The increasing popularity of wearable consumer products can play a significant role in the healthcare sector. The recognition of human activities from IoT is an important building block in this context. While the analysis of the generated datastream can \ldots{}", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Khan:2021:PCA, author = "Aftab Khan and Alexandros Zenonos and Georgios Kalogridis and Yaowei Wang and Stefanos Vatsikas and Mahesh Sooriyabandara", title = "Perception Clusters: Automated Mood Recognition Using a Novel Cluster-Driven Modelling System", journal = j-TOCH, volume = "2", number = "1", pages = "4:1--4:16", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3422819", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3422819", abstract = "Automated mood recognition has been studied in recent times with great emphasis on stress in particular. Other affective states are also of great importance, as studying them can help in understanding human behaviours in more detail. Most of the studies \ldots{}", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Mauldin:2021:EDL, author = "Taylor Mauldin and Anne H. Ngu and Vangelis Metsis and Marc E. Canby", title = "Ensemble Deep Learning on Wearables Using Small Datasets", journal = j-TOCH, volume = "2", number = "1", pages = "5:1--5:30", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3428666", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3428666", abstract = "This article presents an in-depth experimental study of Ensemble Deep Learning techniques on small datasets for the analysis of time-series data generated by wearable devices. Deep Learning networks generally require large datasets for training. In some \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Chuan:2021:CEC, author = "Ching-Hua Chuan and Susan Morgan", title = "Creating and Evaluating Chatbots as Eligibility Assistants for Clinical Trials: an Active Deep Learning Approach towards User-centered Classification", journal = j-TOCH, volume = "2", number = "1", pages = "6:1--6:19", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3403575", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3403575", abstract = "Clinical trials are important tools to improve knowledge about the effectiveness of new treatments for all diseases, including cancers. However, studies show that fewer than 5\% of cancer patients are enrolled in any type of research study or clinical \ldots{}", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{vanBerkel:2021:DVM, author = "Niels van Berkel and Omer F. Ahmad and Danail Stoyanov and Laurence Lovat and Ann Blandford", title = "Designing Visual Markers for Continuous Artificial Intelligence Support: a Colonoscopy Case Study", journal = j-TOCH, volume = "2", number = "1", pages = "7:1--7:24", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3422156", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3422156", abstract = "Colonoscopy, the visual inspection of the large bowel using an endoscope, offers protection against colorectal cancer by allowing for the detection and removal of pre-cancerous polyps. The literature on polyp detection shows widely varying miss rates \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kumar:2021:MWS, author = "Devender Kumar and Steven Jeuris and Jakob E. Bardram and Nicola Dragoni", title = "Mobile and Wearable Sensing Frameworks for {mHealth} Studies and Applications: a Systematic Review", journal = j-TOCH, volume = "2", number = "1", pages = "8:1--8:28", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3422158", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3422158", abstract = "With the widespread use of smartphones and wearable health sensors, a plethora of mobile health (mHealth) applications to track well-being, run human behavioral studies, and clinical trials have emerged in recent years. However, the design, development, \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Hurley:2021:SCO, author = "Nathan C. Hurley and Erica S. Spatz and Harlan M. Krumholz and Roozbeh Jafari and Bobak J. Mortazavi", title = "A Survey of Challenges and Opportunities in Sensing and Analytics for Risk Factors of Cardiovascular Disorders", journal = j-TOCH, volume = "2", number = "1", pages = "9:1--9:42", month = jan, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3417958", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Sun Mar 28 08:09:27 MDT 2021", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3417958", abstract = "Cardiovascular disorders cause nearly one in three deaths in the United States. Short- and long-term care for these disorders is often determined in short-term settings. However, these decisions are made with minimal longitudinal and long-term data. To \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Tran:2021:AGG, author = "Tung Tran and Ramakanth Kavuluru and Halil Kilicoglu", title = "Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels", journal = j-TOCH, volume = "2", number = "2", pages = "10:1--10:19", month = mar, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3423209", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3423209", abstract = "Preventable adverse events as a result of medical errors present a growing concern in the healthcare system. As drug-drug interactions (DDIs) may lead to preventable adverse events, being able to extract DDIs from drug labels into a machine-processable \ldots{}", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Chen:2021:ECE, author = "Dawei Chen and Jiangtao Wang and Wenjie Ruan and Qiang Ni and Sumi Helal", title = "Enabling Cost-Effective Population Health Monitoring By Exploiting Spatiotemporal Correlation: an Empirical Study", journal = j-TOCH, volume = "2", number = "2", pages = "11:1--11:19", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3428665", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3428665", abstract = "Because of its important role in health policy-shaping, population health monitoring (PHM) is considered a fundamental block for public health services. However, traditional public health data collection approaches, such as clinic-visit-based data \ldots{}", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Akbari:2021:DDC, author = "Ali Akbari and Reese Grimsley and Roozbeh Jafari", title = "Data-driven Context Detection Leveraging Passively Sensed Nearables for Recognizing Complex Activities of Daily Living", journal = j-TOCH, volume = "2", number = "2", pages = "12:1--12:22", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3428664", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3428664", abstract = "Wearable systems have unlocked new sensing paradigms in various applications such as human activity recognition, which can enhance effectiveness of mobile health applications. Current systems using wearables are not capable of understanding their \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Aziz:2021:OAD, author = "Md Momin {Al Aziz} and Shahin Kamali and Noman Mohammed and Xiaoqian Jiang", title = "Online Algorithm for Differentially Private Genome-wide Association Studies", journal = j-TOCH, volume = "2", number = "2", pages = "13:1--13:27", month = apr, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3431504", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3431504", abstract = "Digitization of healthcare records contributed to a large volume of functional scientific data that can help researchers to understand the behaviour of many diseases. However, the privacy implications of this data, particularly genomics data, have \ldots{}", acknowledgement = ack-nhfb, articleno = "13", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kristiansen:2021:MLS, author = "Stein Kristiansen and Konstantinos Nikolaidis and Thomas Plagemann and Vera Goebel and Gunn Marit Traaen and Britt {\O}verland and Lars Aaker{\o}y and Tove-Elizabeth Hunt and Jan P{\aa}l Loennechen and Sigurd Loe Steinshamn and Christina Holt Bendz and Ole-Gunnar Anfinsen and Lars Gullestad and Harriet Akre", title = "Machine Learning for Sleep Apnea Detection with Unattended Sleep Monitoring at Home", journal = j-TOCH, volume = "2", number = "2", pages = "14:1--14:25", month = mar, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3433987", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3433987", abstract = "Sleep apnea is a common and strongly under-diagnosed severe sleep-related respiratory disorder with periods of disrupted or reduced breathing during sleep. To diagnose sleep apnea, sleep data are collected with either polysomnography or polygraphy and \ldots{}", acknowledgement = ack-nhfb, articleno = "14", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wang:2021:SSB, author = "Xuyu Wang and Runze Huang and Chao Yang and Shiwen Mao", title = "Smartphone Sonar-Based Contact-Free Respiration Rate Monitoring", journal = j-TOCH, volume = "2", number = "2", pages = "15:1--15:26", month = mar, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3436822", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3436822", abstract = "Vital sign (e.g., respiration rate) monitoring has become increasingly more important because it offers useful clues about medical conditions such as sleep disorders. There is a compelling need for technologies that enable contact-free and easy \ldots{}", acknowledgement = ack-nhfb, articleno = "15", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Verreydt:2021:SPR, author = "Stef Verreydt and Koen Yskout and Wouter Joosen", title = "Security and Privacy Requirements for Electronic Consent: a Systematic Literature Review", journal = j-TOCH, volume = "2", number = "2", pages = "16:1--16:24", month = mar, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3433995", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3433995", abstract = "Electronic consent (e-consent) has the potential to solve many paper-based consent approaches. Existing approaches, however, face challenges regarding privacy and security. This literature review aims to provide an overview of privacy and security \ldots{}", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Rissola:2021:SCM, author = "Esteban A. R{\'\i}ssola and David E. Losada and Fabio Crestani", title = "A Survey of Computational Methods for Online Mental State Assessment on Social Media", journal = j-TOCH, volume = "2", number = "2", pages = "17:1--17:31", month = mar, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3437259", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3437259", abstract = "Mental state assessment by analysing user-generated content is a field that has recently attracted considerable attention. Today, many people are increasingly utilising online social media platforms to share their feelings and moods. This provides a \ldots{}", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Reichert:2021:SAC, author = "Leonie Reichert and Samuel Brack and Bj{\"O}RN Scheuermann", title = "A Survey of Automatic Contact Tracing Approaches Using {Bluetooth} Low Energy", journal = j-TOCH, volume = "2", number = "2", pages = "18:1--18:33", month = mar, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3444847", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:22 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3444847", abstract = "To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. Bluetooth Low Energy as base \ldots{}", acknowledgement = ack-nhfb, articleno = "18", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Yarlagadda:2021:SAC, author = "Sri Kalyan Yarlagadda and Daniel Mas Montserrat and David G{\"u}era and Carol J. Boushey and Deborah A. Kerr and Fengqing Zhu", title = "Saliency-Aware Class-Agnostic Food Image Segmentation", journal = j-TOCH, volume = "2", number = "3", pages = "19:1--19:17", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3440274", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3440274", abstract = "Advances in image-based dietary assessment methods have allowed nutrition professionals and researchers to improve the accuracy of dietary assessment, where images of food consumed are captured using smartphones or wearable devices. These images are \ldots{}", acknowledgement = ack-nhfb, articleno = "19", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wan:2021:SBE, author = "Cheng Wan and Andrew W. Mchill and Elizabeth B. Klerman and Akane Sano", title = "Sensor-Based Estimation of Dim Light Melatonin Onset Using Features of Two Time Scales", journal = j-TOCH, volume = "2", number = "3", pages = "20:1--20:15", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3447516", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3447516", abstract = "Circadian rhythms influence multiple essential biological activities, including sleep, performance, and mood. The dim light melatonin onset (DLMO) is the gold standard for measuring human circadian phase (i.e., timing). The collection of DLMO is \ldots{}", acknowledgement = ack-nhfb, articleno = "20", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Harris:2021:FGS, author = "Jonathan J. Harris and Ching-Hua Chen and Mohammed J. Zaki", title = "A Framework for Generating Summaries from Temporal Personal Health Data", journal = j-TOCH, volume = "2", number = "3", pages = "21:1--21:43", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3448672", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3448672", abstract = "Although it has become easier for individuals to track their personal health data (e.g., heart rate, step count, and nutrient intake data), there is still a wide chasm between the collection of data and the generation of meaningful summaries to help \ldots{}", acknowledgement = ack-nhfb, articleno = "21", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wu:2021:EDH, author = "Wenlong Wu and James M. Keller and Marjorie Skubic and Mihail Popescu and Kari R. Lane", title = "Early Detection of Health Changes in the Elderly Using In-Home Multi-Sensor Data Streams", journal = j-TOCH, volume = "2", number = "3", pages = "22:1--22:23", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3448671", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3448671", abstract = "The rapid aging of the population worldwide requires increased attention from healthcare providers and the entire society. For the elderly to live independently, many health issues related to old age, such as frailty and risk of falling, need increased \ldots{}", acknowledgement = ack-nhfb, articleno = "22", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wang:2021:CPP, author = "Chongyang Wang and Temitayo A. Olugbade and Akhil Mathur and Amanda C. DE C. Williams and Nicholas D. Lane and Nadia Bianchi-Berthouze", title = "Chronic Pain Protective Behavior Detection with Deep Learning", journal = j-TOCH, volume = "2", number = "3", pages = "23:1--23:24", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3449068", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3449068", abstract = "In chronic pain rehabilitation, physiotherapists adapt physical activity to patients' performance based on their expression of protective behavior, gradually exposing them to feared but harmless and essential everyday activities. As rehabilitation moves \ldots{}", acknowledgement = ack-nhfb, articleno = "23", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Chen:2021:FED, author = "Kun-chih (Jimmy) Chen and Po-Chen Chien and Zi-Jie Gao and Chi-Hsun Wu", title = "A Fast {ECG} Diagnosis by Using Non-Uniform Spectral Analysis and the Artificial Neural Network", journal = j-TOCH, volume = "2", number = "3", pages = "24:1--24:21", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3453174", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3453174", abstract = "The electrocardiogram (ECG) has been proven as an efficient diagnostic tool to monitor the electrical activity of the heart and has become a widely used clinical approach to diagnose heart diseases. In a practical way, the ECG signal can be decomposed \ldots{}", acknowledgement = ack-nhfb, articleno = "24", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Sweeney:2021:CCH, author = "Colm Sweeney and Courtney Potts and Edel Ennis and Raymond Bond and Maurice D. Mulvenna and Siobhan O'neill and Martin Malcolm and Lauri Kuosmanen and Catrine Kostenius and Alex Vakaloudis and Gavin Mcconvey and Robin Turkington and David Hanna and Heidi Nieminen and Anna-Kaisa Vartiainen and Alison Robertson and Michael F. Mctear", title = "Can Chatbots Help Support a {Person}'s Mental Health? Perceptions and Views from Mental Healthcare Professionals and Experts", journal = j-TOCH, volume = "2", number = "3", pages = "25:1--25:15", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3453175", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3453175", abstract = "The objective of this study was to understand the attitudes of professionals who work in mental health regarding the use of conversational user interfaces, or chatbots, to support people's mental health and wellbeing. This study involves an online \ldots{}", acknowledgement = ack-nhfb, articleno = "25", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kyono:2021:TMI, author = "Trent Kyono and Fiona J. Gilbert and Mihaela {Van Der Schaar}", title = "Triage of {$2$D} Mammographic Images Using Multi-view Multi-task Convolutional Neural Networks", journal = j-TOCH, volume = "2", number = "3", pages = "26:1--26:24", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3453166", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3453166", abstract = "With an aging and growing population, the number of women receiving mammograms is increasing. However, existing techniques for autonomous diagnosis do not surpass a well-trained radiologist. Therefore, to reduce the number of mammograms that require \ldots{}", acknowledgement = ack-nhfb, articleno = "26", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Newaz:2021:SSP, author = "Akm Iqtidar Newaz and Amit Kumar Sikder and Mohammad Ashiqur Rahman and A. Selcuk Uluagac", title = "A Survey on Security and Privacy Issues in Modern Healthcare Systems: Attacks and Defenses", journal = j-TOCH, volume = "2", number = "3", pages = "27:1--27:44", month = jul, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3453176", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:23 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3453176", abstract = "Recent advancements in computing systems and wireless communications have made healthcare systems more efficient than before. Modern healthcare devices can monitor and manage different health conditions of patients automatically without any manual \ldots{}", acknowledgement = ack-nhfb, articleno = "27", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Malavazos:2021:NRH, author = "Konstantinos Malavazos and Maria Papadogiorgaki and Pavlos Malakonakis and Ioannis Papaefstathiou", title = "Novel Reconfigurable Hardware Systems for Tumor Growth Prediction", journal = j-TOCH, volume = "2", number = "4", pages = "28:1--28:27", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3454126", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3454126", abstract = "An emerging trend in biomedical systems research is the development of models that take full advantage of the increasing available computational power to manage and analyze new biological data as well as to model complex biological processes. Such \ldots{}", acknowledgement = ack-nhfb, articleno = "28", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kucukozer-Cavdar:2021:DRM, author = "Seyma Kucukozer-Cavdar and Tugba Taskaya-Temizel and Abhinav Mehrotra and Mirco Musolesi and Peter Tino", title = "Designing Robust Models for Behaviour Prediction Using Sparse Data from Mobile Sensing: a Case Study of Office Workers' Availability for Well-being Interventions", journal = j-TOCH, volume = "2", number = "4", pages = "29:1--29:33", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3458753", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3458753", abstract = "Understanding in which circumstances office workers take rest breaks is important for delivering effective mobile notifications and make inferences about their daily lifestyle, e.g., whether they are active and/or have a sedentary life. Previous studies \ldots{}", acknowledgement = ack-nhfb, articleno = "29", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Ali:2021:AHP, author = "Mohammad Rafayet Ali and Taylan Sen and Qianyi Li and Raina Langevin and Taylor Myers and E. Ray Dorsey and Saloni Sharma and Ehsan Hoque", title = "Analyzing Head Pose in Remotely Collected Videos of People with {Parkinson}'s Disease", journal = j-TOCH, volume = "2", number = "4", pages = "30:1--30:13", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3459669", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3459669", abstract = "We developed an intelligent web interface that guides users to perform several Parkinson's disease (PD) motion assessment tests in front of their webcam. After gathering data from 329 participants (N = 199 with PD, N = 130 without PD), we developed a \ldots{}", acknowledgement = ack-nhfb, articleno = "30", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Rohani:2021:BUA, author = "Darius A. Rohani and Maria Faurholt-Jepsen and Lars V. Kessing and Jakob E. Bardram", title = "Benefits of Using Activity Recommender Technology for Self-management of Depressive Symptoms", journal = j-TOCH, volume = "2", number = "4", pages = "31:1--31:21", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3462212", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3462212", abstract = "Behavioral Activation (BA)therapy has shown to be effective in treating depression. Recommending healthy activities is a core principle in Behavioral Activation (BA), which is typically done by the therapist. However, most BA smartphone applications do \ldots{}", acknowledgement = ack-nhfb, articleno = "31", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Bellio:2021:OBA, author = "Maura Bellio and Dominic Furniss and Neil P. Oxtoby and Sara Garbarino and Nicholas C. Firth and Annemie Ribbens and Daniel C. Alexander and Ann Blandford", title = "Opportunities and Barriers for Adoption of a Decision-Support Tool for {Alzheimer}'s Disease", journal = j-TOCH, volume = "2", number = "4", pages = "32:1--32:19", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3462764", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3462764", abstract = "Clinical decision-support tools (DSTs) represent a valuable resource in healthcare. However, lack of Human Factors considerations and early design research has often limited their successful adoption. To complement previous technically focused work, we \ldots{}", acknowledgement = ack-nhfb, articleno = "32", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Banerjee:2021:BNE, author = "Pratyay Banerjee and Kuntal Kumar Pal and Murthy Devarakonda and Chitta Baral", title = "Biomedical Named Entity Recognition via Knowledge Guidance and Question Answering", journal = j-TOCH, volume = "2", number = "4", pages = "33:1--33:24", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3465221", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3465221", abstract = "In this work, we formulated the named entity recognition (NER) task as a multi-answer knowledge guided question-answer task (KGQA) and showed that the knowledge guidance helps to achieve state-of-the-art results for 11 of 18 biomedical NER datasets. We \ldots{}", acknowledgement = ack-nhfb, articleno = "33", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Santini:2021:OCV, author = "Simone Santini", title = "Optimal {COVID-19} Vaccination Strategies with Limited Vaccine and Delivery Capabilities: a Model Based on Social Networks", journal = j-TOCH, volume = "2", number = "4", pages = "34:1--34:16", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3466622", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3466622", abstract = "We develop a model of infection spread that takes into account the existence of a vulnerable group as well as the variability of the social relations of individuals. We develop a compartmentalized power-law model, with power-law connections between the \ldots{}", acknowledgement = ack-nhfb, articleno = "34", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Sun:2021:ABD, author = "Zhaohong Sun and Wei Dong and Jinlong Shi and Kunlun He and Zhengxing Huang", title = "Attention-Based Deep Recurrent Model for Survival Prediction", journal = j-TOCH, volume = "2", number = "4", pages = "35:1--35:18", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3466782", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3466782", abstract = "Survival analysis exhibits profound effects on health service management. Traditional approaches for survival analysis have a pre-assumption on the time-to-event probability distribution and seldom consider sequential visits of patients on medical \ldots{}", acknowledgement = ack-nhfb, articleno = "35", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{BessaDaCosta:2021:PEP, author = "Anderson {Bessa Da Costa} and Larissa Moreira and Daniel {Ciampi De Andrade} and Adriano Veloso and Nivio Ziviani", title = "Predicting the Evolution of Pain Relief: Ensemble Learning by Diversifying Model Explanations", journal = j-TOCH, volume = "2", number = "4", pages = "36:1--36:28", month = oct, year = "2021", CODEN = "????", DOI = "https://doi.org/10.1145/3466781", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:24 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3466781", abstract = "Modeling from data usually has two distinct facets: building sound explanatory models or creating powerful predictive models for a system or phenomenon. Most of recent literature does not exploit the relationship between explanation and prediction while \ldots{}", acknowledgement = ack-nhfb, articleno = "36", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Devarakonda:2022:ISI, author = "Murthy V. Devarakonda and Ellen M. Voorhees", title = "Introduction to the Special Issue on Computational Methods for Biomedical {NLP}", journal = j-TOCH, volume = "3", number = "1", pages = "1:1--1:2", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3492302", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3492302", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Gu:2022:DSL, author = "Yu Gu and Robert Tinn and Hao Cheng and Michael Lucas and Naoto Usuyama and Xiaodong Liu and Tristan Naumann and Jianfeng Gao and Hoifung Poon", title = "Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing", journal = j-TOCH, volume = "3", number = "1", pages = "2:1--2:23", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3458754", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3458754", abstract = "Pretraining large neural language models, such as BERT, has led to impressive gains on many natural language processing (NLP) tasks. However, most pretraining efforts focus on general domain corpora, such as newswire and Web. A prevailing assumption is \ldots{}", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Crovari:2022:GCA, author = "Pietro Crovari and Sara Pid{\`o} and Pietro Pinoli and Anna Bernasconi and Arif Canakoglu and Franca Garzotto and Stefano Ceri", title = "{GeCoAgent}: a Conversational Agent for Empowering Genomic Data Extraction and Analysis", journal = j-TOCH, volume = "3", number = "1", pages = "3:1--3:29", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3464383", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3464383", abstract = "With the availability of reliable and low-cost DNA sequencing, human genomics is relevant to a growing number of end-users, including biologists and clinicians. Typical interactions require applying comparative data analysis to huge repositories of \ldots{}", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Grani:2022:SPH, author = "Giorgio Grani and Andrea Lenzi and Paola Velardi", title = "Supporting Personalized Health Care With Social Media Analytics: an Application to Hypothyroidism", journal = j-TOCH, volume = "3", number = "1", pages = "4:1--4:28", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3468781", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3468781", abstract = "Social media analytics can considerably contribute to understanding health conditions beyond clinical practice, by capturing patients' discussions and feelings about their quality of life in relation to disease treatments. In this article, we propose a \ldots{}", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{AlAziz:2022:DPM, author = "Md Momin {Al Aziz} and Tanbir Ahmed and Tasnia Faequa and Xiaoqian Jiang and Yiyu Yao and Noman Mohammed", title = "Differentially Private Medical Texts Generation Using Generative Neural Networks", journal = j-TOCH, volume = "3", number = "1", pages = "5:1--5:27", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3469035", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3469035", abstract = "Technological advancements in data science have offered us affordable storage and efficient algorithms to query a large volume of data. Our health records are a significant part of this data, which is pivotal for healthcare providers and can be utilized \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Lee:2022:CEI, author = "Kahyun Lee and Mehmet Kayaalp and Sam Henry and {\"O}zlem Uzuner", title = "A Context-Enhanced De-identification System", journal = j-TOCH, volume = "3", number = "1", pages = "6:1--6:14", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3470980", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3470980", abstract = "Many modern entity recognition systems, including the current state-of-the-art de-identification systems, are based on bidirectional long short-term memory (biLSTM) units augmented by a conditional random field (CRF) sequence optimizer. These systems \ldots{}", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Tariq:2022:BGB, author = "Amara Tariq and Marly {Van Assen} and Carlo N. {De Cecco} and Imon Banerjee", title = "Bridging the Gap between Structured and Free-form Radiology Reporting: a Case-study on Coronary {CT} Angiography", journal = j-TOCH, volume = "3", number = "1", pages = "7:1--7:20", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3474831", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3474831", abstract = "Free-form radiology reports associated with coronary computed tomography angiography (CCTA) include nuanced and complicated linguistics to report cardiovascular disease. Standardization and interpretation of such reports is crucial for clinical use of \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Bertini:2022:ASC, author = "Flavio Bertini and Davide Allevi and Gianluca Lutero and Danilo Montesi and Laura Calz{\`a}", title = "Automatic Speech Classifier for Mild Cognitive Impairment and Early Dementia", journal = j-TOCH, volume = "3", number = "1", pages = "8:1--8:11", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3469089", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3469089", abstract = "The World Health Organization estimates that 50 million people are currently living with dementia worldwide and this figure will almost triple by 2050. Current pharmacological treatments are only symptomatic, and drugs or other therapies are ineffective \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Shojaee:2022:AWT, author = "Parshin Shojaee and Xiaoyu Chen and Ran Jin", title = "Adaptively Weighted Top-{$N$} Recommendation for Organ Matching", journal = j-TOCH, volume = "3", number = "1", pages = "9:1--9:29", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3469657", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3469657", abstract = "Reducing the shortage of organ donations to meet the demands of patients on the waiting list has being a major challenge in organ transplantation. Because of the shortage, organ matching decision is the most critical decision to assign the limited viable \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Gaddipati:2022:GAF, author = "Divya Jyothi Gaddipati and Jayanthi Sivaswamy", title = "Glaucoma Assessment from Fundus Images with Fundus to {OCT} Feature Space Mapping", journal = j-TOCH, volume = "3", number = "1", pages = "10:1--10:15", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3470979", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3470979", abstract = "Early detection and treatment of glaucoma is of interest as it is a chronic eye disease leading to an irreversible loss of vision. Existing automated systems rely largely on fundus images for assessment of glaucoma due to their fast acquisition and cost-. \ldots{}", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Feiger:2022:EUN, author = "Bradley Feiger and Erick Lorenzana-Saldivar and Colin Cooke and Roarke Horstmeyer and Muath Bishawi and Julie Doberne and G. Chad Hughes and David Ranney and Soraya Voigt and Amanda Randles", title = "Evaluation of {U}-Net Based Architectures for Automatic Aortic Dissection Segmentation", journal = j-TOCH, volume = "3", number = "1", pages = "11:1--11:16", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3472302", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3472302", abstract = "Segmentation and reconstruction of arteries is important for a variety of medical and engineering fields, such as surgical planning and physiological modeling. However, manual methods can be laborious and subject to a high degree of human variability. In \ldots{}", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Ding:2022:ABU, author = "Haoran Ding and Xiao Luo", title = "Attention-based Unsupervised Keyphrase Extraction and Phrase Graph for {COVID-19} Medical Literature Retrieval", journal = j-TOCH, volume = "3", number = "1", pages = "12:1--12:16", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3473939", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3473939", abstract = "Searching, reading, and finding information from the massive medical text collections are challenging. A typical biomedical search engine is not feasible to navigate each article to find critical information or keyphrases. Moreover, few tools provide a \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Shojaati:2022:DCM, author = "Narjes Shojaati and Nathaniel D. Osgood", title = "Dynamic Computational Models and Simulations of the Opioid Crisis: a Comprehensive Survey", journal = j-TOCH, volume = "3", number = "1", pages = "13:1--13:25", month = jan, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3469658", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Mar 1 16:37:25 MST 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3469658", abstract = "Opioids have been shown to temporarily reduce the severity of pain when prescribed for medical purposes. However, opioid analgesics can also lead to severe adverse physical and psychological effects or even death through misuse, abuse, short- or long-term \ldots{}", acknowledgement = ack-nhfb, articleno = "13", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Slijepcevic:2022:EML, author = "Djordje Slijepcevic and Fabian Horst and Sebastian Lapuschkin and Brian Horsak and Anna-Maria Raberger and Andreas Kranzl and Wojciech Samek and Christian Breiteneder and Wolfgang Immanuel Sch{\"o}llhorn and Matthias Zeppelzauer", title = "Explaining Machine Learning Models for Clinical Gait Analysis", journal = j-TOCH, volume = "3", number = "2", pages = "14:1--14:27", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3474121", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3474121", abstract = "Machine Learning (ML) is increasingly used to support decision-making in the healthcare sector. While ML approaches provide promising results with regard to their classification performance, most share a central limitation, their black-box character. This \ldots{}", acknowledgement = ack-nhfb, articleno = "14", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Gao:2022:ERR, author = "Ye Gao and Asif Salekin and Kristina Gordon and Karen Rose and Hongning Wang and John Stankovic", title = "Emotion Recognition Robust to Indoor Environmental Distortions and Non-targeted Emotions Using Out-of-distribution Detection", journal = j-TOCH, volume = "3", number = "2", pages = "15:1--15:22", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3492300", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3492300", abstract = "The rapid development of machine learning on acoustic signal processing has resulted in many solutions for detecting emotions from speech. Early works were developed for clean and acted speech and for a fixed set of emotions. Importantly, the datasets and \ldots{}", acknowledgement = ack-nhfb, articleno = "15", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Rahman:2022:MMT, author = "Md Juber Rahman and Bashir I. Morshed", title = "A Minimalist Method Toward Severity Assessment and Progression Monitoring of Obstructive Sleep Apnea on the Edge", journal = j-TOCH, volume = "3", number = "2", pages = "16:1--16:16", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3479432", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3479432", abstract = "Artificial Intelligence-enabled applications on edge devices have the potential to revolutionize disease detection and monitoring in future smart health (sHealth) systems. In this study, we investigated a minimalist approach for the severity \ldots{}", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kassaie:2022:CAC, author = "Besat Kassaie and Elizabeth L. Irving and Frank Wm. Tompa", title = "Computer-Assisted Cohort Identification in Practice", journal = j-TOCH, volume = "3", number = "2", pages = "17:1--17:28", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3483411", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3483411", abstract = "The standard approach to expert-in-the-loop machine learning is active learning, where, repeatedly, an expert is asked to annotate one or more records and the machine finds a classifier that respects all annotations made until that point. We propose an \ldots{}", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Zhang:2022:APG, author = "Junqian Zhang and Yingming Sun and Hongen Liao and Jian Zhu and Yuan Zhang", title = "Automatic Parotid Gland Segmentation in {MVCT} Using Deep Convolutional Neural Networks", journal = j-TOCH, volume = "3", number = "2", pages = "18:1--18:15", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3485278", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3485278", abstract = "Radiation-induced xerostomia, as a major problem in radiation treatment of the head and neck cancer, is mainly due to the overdose irradiation injury to the parotid glands. Helical Tomotherapy-based megavoltage computed tomography (MVCT) imaging during \ldots{}", acknowledgement = ack-nhfb, articleno = "18", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Burrello:2022:ETC, author = "Alessio Burrello and Daniele Jahier Pagliari and Pierangelo Maria Rapa and Matilde Semilia and Matteo Risso and Tommaso Polonelli and Massimo Poncino and Luca Benini and Simone Benatti", title = "Embedding Temporal Convolutional Networks for Energy-efficient {PPG}-based Heart Rate Monitoring", journal = j-TOCH, volume = "3", number = "2", pages = "19:1--19:25", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3487910", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3487910", abstract = "Photoplethysmography (PPG) sensors allow for non-invasive and comfortable heart rate (HR) monitoring, suitable for compact wrist-worn devices. Unfortunately, motion artifacts (MAs) severely impact the monitoring accuracy, causing high variability in the \ldots{}", acknowledgement = ack-nhfb, articleno = "19", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kumar:2022:MCA, author = "Devender Kumar and Raju Maharjan and Alban Maxhuni and Helena Dominguez and Anne Fr{\o}lich and Jakob E. Bardram", title = "{mCardia}: a Context-Aware {ECG} Collection System for Ambulatory Arrhythmia Screening", journal = j-TOCH, volume = "3", number = "2", pages = "20:1--20:28", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3494581", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3494581", abstract = "This article presents the design, technical implementation, and feasibility evaluation of mCardia -a context-aware, mobile electrocardiogram (ECG) collection system for longitudinal arrhythmia screening under free-living conditions. Along with ECG, mCardia. \ldots{}", acknowledgement = ack-nhfb, articleno = "20", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Shen:2022:MAH, author = "Cong Shen and Zhaozhi Qian and Alihan Huyuk and Mihaela Van Der Schaar", title = "{MARS}: Assisting Human with Information Processing Tasks Using Machine Learning", journal = j-TOCH, volume = "3", number = "2", pages = "21:1--21:19", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3494582", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3494582", abstract = "This article studies the problem of automated information processing from large volumes of unstructured, heterogeneous, and sometimes untrustworthy data sources. The main contribution is a novel framework called Machine Assisted Record Selection (MARS). \ldots{}", acknowledgement = ack-nhfb, articleno = "21", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Fu:2022:SLR, author = "Yu Fu and Yan Hu and Veronica Sundstedt", title = "A Systematic Literature Review of Virtual, Augmented, and Mixed Reality Game Applications in Healthcare", journal = j-TOCH, volume = "3", number = "2", pages = "22:1--22:27", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3472303", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3472303", abstract = "Virtual reality, augmented reality, and mixed reality (VR/AR/MR) as information and communication technologies have been recognised and implemented in healthcare in recent years. One of the popular application ways is games, due to the potential benefits \ldots{}", acknowledgement = ack-nhfb, articleno = "22", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Pourebadi:2022:FEM, author = "Maryam Pourebadi and Laurel D. Riek", title = "Facial Expression Modeling and Synthesis for Patient Simulator Systems: Past, Present, and Future", journal = j-TOCH, volume = "3", number = "2", pages = "23:1--23:32", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3483598", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3483598", abstract = "Clinical educators have used robotic and virtual patient simulator systems (RPS) for dozens of years, to help clinical learners (CL) gain key skills to help avoid future patient harm. These systems can simulate human physiological traits; however, they \ldots{}", acknowledgement = ack-nhfb, articleno = "23", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Hussain:2022:NIT, author = "Zawar Hussain and Quan Z. Sheng and Wei Emma Zhang and Jorge Ortiz and Seyedamin Pouriyeh", title = "Non-invasive Techniques for Monitoring Different Aspects of Sleep: a Comprehensive Review", journal = j-TOCH, volume = "3", number = "2", pages = "24:1--24:26", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3491245", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3491245", abstract = "Quality sleep is very important for a healthy life. Nowadays, many people around the world are not getting enough sleep, which has negative impacts on their lifestyles. Studies are being conducted for sleep monitoring and better understanding sleep \ldots{}", acknowledgement = ack-nhfb, articleno = "24", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Marshall:2022:SHF, author = "Jermaine Marshall and Priscilla Jimenez-Pazmino and Ronald Metoyer and Nitesh V. Chawla", title = "A Survey on Healthy Food Decision Influences Through Technological Innovations", journal = j-TOCH, volume = "3", number = "2", pages = "25:1--25:27", month = apr, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3494580", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri May 27 14:58:27 MDT 2022", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3494580", abstract = "It is well known that unhealthy food consumption plays a significant role in dietary and lifestyle-related diseases. Therefore, it is important for researchers to examine methods that may encourage the consumer to consider healthier dietary and lifestyle \ldots{}", acknowledgement = ack-nhfb, articleno = "25", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/healtha", } @Article{Bogdan:2022:ISI, author = "Paul Bogdan and Radu Grosu and Insup Lee", title = "Introduction to the Special Issue on {Internet-of-Medical-Things}", journal = j-TOCH, volume = "3", number = "3", pages = "26:1--26:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3547656", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3547656", acknowledgement = ack-nhfb, ajournal = "", articleno = "26e", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Sun:2022:CDE, author = "Ting-Wei Sun and Danish Ali and Ayeu (Andy) Wu", title = "Compressed-Domain {ECG}-based Biometric User Identification Using Task-Driven Dictionary Learning", journal = j-TOCH, volume = "3", number = "3", pages = "26:1--26:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3461701", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3461701", abstract = "In recent years, user identification has become crucial for authorized machine access. Electrocardiography (ECG) is a new and rising biometrics signature. Rather than traditional biological traits, ECG cannot be easily imitated. In the long-term \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "26", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Luo:2022:PPE, author = "Jiaqing Luo and Ruiyu Bai and Suining He and Kang G. Shin", title = "Pervasive Pose Estimation for Fall Detection", journal = j-TOCH, volume = "3", number = "3", pages = "27:1--27:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3478027", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3478027", abstract = "Falls are the second leading cause of accidental or unintentional injuries/deaths worldwide. Accurate pose estimation using commodity mobile devices will help early detection and injury assessment of falls, which are essential for the first aid of elderly \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "27", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Baez:2022:AEN, author = "Pablo B{\'a}ez and Felipe Bravo-Marquez and Jocelyn Dunstan and Mat{\'\i}as Rojas and Fabi{\'a}n Villena", title = "Automatic Extraction of Nested Entities in Clinical Referrals in {Spanish}", journal = j-TOCH, volume = "3", number = "3", pages = "28:1--28:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3498324", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3498324", abstract = "Here we describe a new clinical corpus rich in nested entities and a series of neural models to identify them. The corpus comprises de-identified referrals from the waiting list in Chilean public hospitals. A subset of 5,000 referrals (58.6\% medical and \ldots{})", acknowledgement = ack-nhfb, ajournal = "", articleno = "28", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Jain:2022:EEH, author = "Seemandhar Jain and Prarthi Jain and Prabhat K. Upadhyay and Jules M. Moualeu and Abhishek Srivastava", title = "An Energy Efficient Health Monitoring Approach with Wireless Body Area Networks", journal = j-TOCH, volume = "3", number = "3", pages = "29:1--29:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3501773", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3501773", abstract = "Wireless Body Area Networks (WBANs) comprise a network of sensors subcutaneously implanted or placed near the body surface and facilitate continuous monitoring of health parameters of a patient. Research endeavours involving WBAN are directed towards \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "29", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Katsimpras:2022:IEP, author = "Georgios Katsimpras and Fotis Aisopos and Peter Garrard and Maria-Esther Vidal and Georgios Paliouras", title = "Improving Early Prognosis of Dementia Using Machine Learning Methods", journal = j-TOCH, volume = "3", number = "3", pages = "30:1--30:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3502433", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3502433", abstract = "Early and precise prognosis of dementia is a critical medical challenge. The design of an optimal computational model that addresses this issue, and at the same time explains the underlying mechanisms that lead to output decisions, is an ongoing \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "30", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Ghosal:2022:IHA, author = "Sagnik Ghosal and Debanjan Das and Venkanna Udutalapally and Preetam Narayan Wasnik", title = "{iNAP}: a Hybrid Approach for {NonInvasive} Anemia-Polycythemia Detection in the {IoMT}", journal = j-TOCH, volume = "3", number = "3", pages = "31:1--31:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3503466", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3503466", abstract = "The paper presents a novel, self-sufficient, Internet of Medical Things-based model called iNAP to address the shortcomings of anemia and polycythemia detection. The proposed model captures eye and fingernail images using a smartphone camera and \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "31", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Gupta:2022:OPE, author = "Mehak Gupta and Thao-Ly T. Phan and H. Timothy Bunnell and Rahmatollah Beheshti", title = "Obesity Prediction with {EHR} Data: a Deep Learning Approach with Interpretable Elements", journal = j-TOCH, volume = "3", number = "3", pages = "32:1--32:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3506719", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3506719", abstract = "Childhood obesity is a major public health challenge. Early prediction and identification of the children at an elevated risk of developing childhood obesity may help in engaging earlier and more effective interventions to prevent and manage obesity. Most \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "32", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Cook:2022:DSB, author = "Diane J. Cook and Miranda Strickland and Maureen Schmitter-Edgecombe", title = "Detecting Smartwatch-Based Behavior Change in Response to a Multi-Domain Brain Health Intervention", journal = j-TOCH, volume = "3", number = "3", pages = "33:1--33:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3508020", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3508020", abstract = "In this study, we introduce and validate a computational method to detect lifestyle change that occurs in response to a multi-domain healthy brain aging intervention. To detect behavior change, digital behavior markers are extracted from smartwatch sensor \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "33", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Fagert:2022:CVH, author = "Jonathon Fagert and Amelie Bonde and Sruti Srinidhi and Sarah Hamilton and Pei Zhang and Hae Young Noh", title = "Clean Vibes: Hand Washing Monitoring Using Structural Vibration Sensing", journal = j-TOCH, volume = "3", number = "3", pages = "34:1--34:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3511890", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3511890", abstract = "We present a passive and non-intrusive sensing system for monitoring hand washing activity using structural vibration sensing. Proper hand washing is one of the most effective ways to limit the spread and transmission of disease, and has been especially \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "34", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Rostaminia:2022:PRS, author = "Soha Rostaminia and Seyedeh Zohreh Homayounfar and Ali Kiaghadi and Trisha Andrew and Deepak Ganesan", title = "{PhyMask}: Robust Sensing of Brain Activity and Physiological Signals During Sleep with an All-textile Eye Mask", journal = j-TOCH, volume = "3", number = "3", pages = "35:1--35:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3513023", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3513023", abstract = "Clinical-grade wearable sleep monitoring is a challenging problem since it requires concurrently monitoring brain activity, eye movement, muscle activity, cardio-respiratory features, and gross body movements. This requires multiple sensors to be worn at \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "35", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Amon:2022:FVR, author = "Mary Jean Amon and Stephen Mattingly and Aaron Necaise and Gloria Mark and Nitesh Chawla and Anind Dey and Sidney D'mello", title = "Flexibility Versus Routineness in Multimodal Health Indicators: a Sensor-based Longitudinal in Situ Study of Information Workers", journal = j-TOCH, volume = "3", number = "3", pages = "36:1--36:??", month = jul, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3514259", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:01 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3514259", abstract = "Although some research highlights the benefits of behavioral routines for individual functioning, other research indicates that routines can reflect an individual's inflexibility and lower well-being. Given conflicting accounts on the benefits of routine, \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "36", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kumar:2022:LMS, author = "Shashwat Kumar and Debajyoti Datta and Guimin Dong and Lihua Cai and Mehdi Boukhechba and Laura Barnes", title = "Leveraging Mobile Sensing and {Bayesian} Change Point Analysis to Monitor Community-scale Behavioral Interventions: a Case Study on {COVID-19}", journal = j-TOCH, volume = "3", number = "4", pages = "37:1--37:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3524886", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3524886", abstract = "During pandemics, effective interventions require monitoring the problem at different scales and understanding the various tradeoffs between efficacy, privacy, and economic burden. To address these challenges, we propose a framework where we perform \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "37", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Morshed:2022:FMC, author = "Mehrab {Bin Morshed} and Samruddhi Shreeram Kulkarni and Koustuv Saha and Richard Li and Leah G. Roper and Lama Nachman and Hong Lu and Lucia Mirabella and Sanjeev Srivastava and Kaya de Barbaro and Munmun de Choudhury and Thomas Pl{\"o}tz and Gregory Abowd", title = "Food, Mood, Context: Examining College Students' Eating Context and Mental Well-being", journal = j-TOCH, volume = "3", number = "4", pages = "38:1--38:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3533390", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3533390", abstract = "Deviant eating behavior such as skipping meals and consuming unhealthy meals has a significant association with mental well-being in college students. However, there is more to what an individual eats. While eating patterns form a critical component of \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "38", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Minot:2022:IBM, author = "Joshua R. Minot and Nicholas Cheney and Marc Maier and Danne C. Elbers and Christopher M. Danforth and Peter Sheridan Dodds", title = "Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance", journal = j-TOCH, volume = "3", number = "4", pages = "39:1--39:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3524887", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3524887", abstract = "Medical systems in general, and patient treatment decisions and outcomes in particular, can be affected by bias based on gender and other demographic elements. As language models are increasingly applied to medicine, there is a growing interest in \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "39", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Joshi:2022:FLH, author = "Madhura Joshi and Ankit Pal and Malaikannan Sankarasubbu", title = "Federated Learning for Healthcare Domain --- Pipeline, Applications and Challenges", journal = j-TOCH, volume = "3", number = "4", pages = "40:1--40:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3533708", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3533708", abstract = "Federated learning is the process of developing machine learning models over datasets distributed across data centers such as hospitals, clinical research labs, and mobile devices while preventing data leakage. This survey examines previous research and \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "40", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Sprint:2022:MFS, author = "Gina Sprint and Diane J. Cook and Maureen Schmitter-Edgecombe and Lawrence B. Holder", title = "Multimodal Fusion of Smart Home and Text-based Behavior Markers for Clinical Assessment Prediction", journal = j-TOCH, volume = "3", number = "4", pages = "41:1--41:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3531231", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3531231", abstract = "New modes of technology are offering unprecedented opportunities to unobtrusively collect data about people's behavior. While there are many use cases for such information, we explore its utility for predicting multiple clinical assessment scores. Because \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "41", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Thimbleby:2022:NNO, author = "Harold Thimbleby", title = "{NHS} Number Open Source Software: Implications for Digital Health Regulation and Development", journal = j-TOCH, volume = "3", number = "4", pages = "42:1--42:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3538382", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/gnu.bib; http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3538382", abstract = "A national example of open source digital healthcare is critiqued. The code for implementing numeric patient identifiers is surprisingly na{\"\i}ve and bug-ridden, despite patient identifiers being computationally trivial and a critical component of reliable \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "42", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Pugh:2022:EAC, author = "Sydney Pugh and Ivan Ruchkin and Christopher Bonafide and Sara Demauro and Oleg Sokolsky and Insup Lee and James Weimer", title = "Evaluating Alarm Classifiers with High-confidence Data Programming", journal = j-TOCH, volume = "3", number = "4", pages = "43:1--43:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3549942", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3549942", abstract = "Classification of clinical alarms is at the heart of prioritization, suppression, integration, postponement, and other methods of mitigating alarm fatigue. Since these methods directly affect clinical care, alarm classifiers, such as intelligent \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "43", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Elor:2022:BIM, author = "Aviv Elor and Steve Whittaker and Sri Kurniawan and Sam Michael", title = "{BioLumin}: an Immersive Mixed Reality Experience for Interactive Microscopic Visualization and Biomedical Research Annotation", journal = j-TOCH, volume = "3", number = "4", pages = "44:1--44:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3548777", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3548777", abstract = "Many recent breakthroughs in medical diagnostics and drug discovery arise from deploying machine learning algorithms to large-scale data sets. However, a significant obstacle to such approaches is that they depend on high-quality annotations generated by \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "44", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Xie:2022:PCA, author = "Zongxing Xie and Bing Zhou and Xi Cheng and Elinor Schoenfeld and Fan Ye", title = "Passive and Context-Aware In-Home Vital Signs Monitoring Using Co-Located {UWB}-Depth Sensor Fusion", journal = j-TOCH, volume = "3", number = "4", pages = "45:1--45:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3549941", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3549941", abstract = "Basic vital signs such as heart and respiratory rates (HR and RR) are essential bio-indicators. Their longitudinal in-home collection enables prediction and detection of disease onset and change, providing for earlier health intervention. In this article, \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "45", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Senaratne:2022:CRM, author = "Hashini Senaratne and Sharon Oviatt and Kirsten Ellis and Glenn Melvin", title = "A Critical Review of Multimodal-multisensor Analytics for Anxiety Assessment", journal = j-TOCH, volume = "3", number = "4", pages = "46:1--46:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3556980", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3556980", abstract = "Recently, interest has grown in the assessment of anxiety that leverages human physiological and behavioral data to address the drawbacks of current subjective clinical assessments. Complex experiences of anxiety vary on multiple characteristics, \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "46", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Amaral:2022:SVL, author = "Kevin Amaral and Zihan Li and Wei Ding and Scott Crouter and Ping Chen", title = "{SummerTime}: Variable-length Time Series Summarization with Application to Physical Activity Analysis", journal = j-TOCH, volume = "3", number = "4", pages = "47:1--47:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3532628", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3532628", abstract = "SummerTime seeks to summarize global time-series signals and provides a fixed-length, robust representation of the variable-length time series. Many machine learning methods depend on data instances with a fixed number of features. As a result, those \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "47", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Nikolaidis:2022:MHS, author = "Konstantinos Nikolaidis and Stein Kristiansen and Thomas Plagemann and Vera Goebel and Knut Liest{\o}l and Mohan Kankanhalli and Gunn-Marit Traaen and Britt {\O}verland and Harriet Akre and Lars Aaker{\o}y and Sigurd Steinshamn", title = "{My Health Sensor, My Classifier} --- Adapting a Trained Classifier to Unlabeled End-User Data", journal = j-TOCH, volume = "3", number = "4", pages = "48:1--48:??", month = oct, year = "2022", CODEN = "????", DOI = "https://doi.org/10.1145/3559767", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:03 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3559767", abstract = "Sleep apnea is a common yet severely under-diagnosed sleep related disorder. Unattended sleep monitoring at home with low-cost sensors can be leveraged for condition detection, and Machine Learning offers a generalized solution for this task. However, \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "48", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Zargari:2023:ANA, author = "Amir Hosein Afandizadeh Zargari and Seyed Amir Hossein Aqajari and Hadi Khodabandeh and Amir Rahmani and Fadi Kurdahi", title = "An Accurate Non-accelerometer-based {PPG} Motion Artifact Removal Technique using {CycleGAN}", journal = j-TOCH, volume = "4", number = "1", pages = "1:1--1:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3563949", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3563949", abstract = "A photoplethysmography (PPG) is an uncomplicated and inexpensive optical technique widely used in the healthcare domain to extract valuable health-related information, e.g., heart rate variability, blood pressure, and respiration rate. PPG signals can \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "1", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Constantinides:2023:SUP, author = "Argyris Constantinides and Marios Belk and Christos Fidas and Roy Beumers and David Vidal and Wanting Huang and Juliana Bowles and Thais Webber and Agastya Silvina and Andreas Pitsillides", title = "Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare Organizations", journal = j-TOCH, volume = "4", number = "1", pages = "2:1--2:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3564610", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3564610", abstract = "This article proposes a user-adaptable and personalized authentication paradigm for healthcare organizations, which anticipates to seamlessly reflect patients' episodic and autobiographical memories to graphical and textual passwords aiming to improve the \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "2", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Le:2023:MAM, author = "Hieu Hanh Le and Tatsuhiro Yamada and Yuichi Honda and Takatoshi Sakamoto and Ryosuke Matsuo and Tomoyoshi Yamazaki and Kenji Araki and Haruo Yokota", title = "Methods for Analyzing Medical-Order Sequence Variants in Sequential Pattern Mining for Electronic Medical Record Systems", journal = j-TOCH, volume = "4", number = "1", pages = "3:1--3:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3561825", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3561825", abstract = "Electronic medical record systems have been adopted by many large hospitals worldwide, enabling the recorded data to be analyzed by various computer-based techniques to gain a better understanding of hospital-based disease treatments. Among such \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "3", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Shi:2023:IAP, author = "Keqin Shi and Zhen Chen and Xuejing Li and Zhifei Xiao and Weiqiang Sun and Weisheng Hu", title = "Inferring Activity Patterns from Sparse Step Counts Data with Recurrent Neural Networks", journal = j-TOCH, volume = "4", number = "1", pages = "4:1--4:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3560468", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3560468", abstract = "As an accurate measurement of physical activity, step counts data can be collected expediently by smartphones and wearable devices. Complete and high time-resolution step counts data record the time and intensity of individuals' physical activity in a day,. \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "4", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{An:2023:TLH, author = "Sizhe An and Ganapati Bhat and Suat Gumussoy and Umit Ogras", title = "Transfer Learning for Human Activity Recognition Using Representational Analysis of Neural Networks", journal = j-TOCH, volume = "4", number = "1", pages = "5:1--5:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3563948", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3563948", abstract = "Human activity recognition (HAR) has increased in recent years due to its applications in mobile health monitoring, activity recognition, and patient rehabilitation. The typical approach is training a HAR classifier offline with known users and then using \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "5", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Wang:2023:AAB, author = "Yiyuan Wang and Guillaume Wattelez and St{\'e}phane Frayon and Corinne Caillaud and Olivier Galy and Kalina Yacef", title = "{ABIPA}: {ARIMA}-Based Integration of Accelerometer-Based Physical Activity for Adolescent Weight Status Prediction", journal = j-TOCH, volume = "4", number = "1", pages = "6:1--6:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3561611", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3561611", abstract = "Obesity is a global health concern associated with various demographic and lifestyle factors including physical activity (PA). Research studies generally used self-reported PA data or, when accelerometer-based activity trackers were used, highly \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "6", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Akbari:2023:SBS, author = "Fateme Akbari and Kamran Sartipi and Norm Archer", title = "Synthetic Behavior Sequence Generation Using Generative Adversarial Networks", journal = j-TOCH, volume = "4", number = "1", pages = "7:1--7:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3563950", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3563950", abstract = "Due to the increase in life expectancy in advanced societies leading to an increase in population age, data-driven systems are receiving more attention to support the older people by monitoring their health. Intelligent sensor networks provide the ability \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "7", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Feng:2023:TSC, author = "Yujie Feng and Jiangtao Wang and Yasha Wang and Xu Chu", title = "Towards Sustainable Compressive Population Health: a {GAN}-based Year-By-Year Imputation Method", journal = j-TOCH, volume = "4", number = "1", pages = "8:1--8:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3571159", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3571159", abstract = "Population health monitoring is a fundamental component of the public health system. Due to the high-cost nature of traditional population-wise health-data collection methods, a class of sparse-sampling-completion algorithms are proposed to exploit the \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "8", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Adhikary:2023:SML, author = "Rishiraj Adhikary and Dhruvi Lodhavia and Chris Francis and Rohit Patil and Tanmay Srivastava and Prerna Khanna and Nipun Batra and Joseph Breda and Jacob Peplinski and Shwetak Patel", title = "{SpiroMask}: Measuring Lung Function Using Consumer-Grade Masks", journal = j-TOCH, volume = "4", number = "1", pages = "9:1--9:??", month = jan, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3570167", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:04 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3570167", abstract = "According to the World Health Organisation (WHO), 235 million people suffer from respiratory illnesses which causes four million deaths annually. Regular lung health monitoring can lead to prognoses about deteriorating lung health conditions. This article \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "9", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Saffarpour:2023:PPA, author = "Mahya Saffarpour and Debraj Basu and Fatemeh Radaei and Kourosh Vali and Jason Y. Adams and Chen-Nee Chuah and Soheil Ghiasi", title = "Physiowise: a Physics-aware Approach to Dicrotic Notch Identification", journal = j-TOCH, volume = "4", number = "2", pages = "10:1--10:??", month = apr, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3578556", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:05 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3578556", abstract = "Dicrotic Notch (DN), one of the most significant and indicative features of the arterial blood pressure (ABP) waveform, becomes less pronounced and thus harder to identify as a matter of aging and pathological vascular stiffness. Generalizable and \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "10", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Grohn:2023:QMB, author = "Tommi Gr{\"o}hn and Sammeli Liikkanen and Teppo Huttunen and Mika M{\"a}kinen and Pasi Liljeberg and Pekka Marttinen", title = "Quantifying Movement Behavior of Chronic Low Back Pain Patients in Virtual Reality", journal = j-TOCH, volume = "4", number = "2", pages = "11:1--11:??", month = apr, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3582487", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:05 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3582487", abstract = "Chronic low back pain (CLBP) is a globally common musculoskeletal problem. Measuring the sensation of pain and the effect of a treatment has always been a challenge for healthcare. Here, we study how the movement data, collected while using a virtual \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "11", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Yang:2023:TGT, author = "Zhenyu Yang and Yantao Li and Gang Zhou", title = "{TS-GAN}: Time-series {GAN} for Sensor-based Health Data Augmentation", journal = j-TOCH, volume = "4", number = "2", pages = "12:1--12:??", month = apr, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3583593", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:05 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3583593", abstract = "Deep learning has achieved significant success on intelligent medical treatments, such as automatic diagnosis and analysis of medical data. To train an automatic diagnosis system with high accuracy and strong robustness in healthcare, sufficient training \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "12", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Bardram:2023:DPH, author = "Jakob E. Bardram and Claus Cramer-Petersen and Alban Maxhuni and Mads V. S. Christensen and Per B{\ae}kgaard and Dan R. Persson and Nanna Lind and Merete B. Christensen and Kirsten N{\o}rgaard and Jayden Khakurel and Timothy C. Skinner and Dagmar Kownatka and Allan Jones", title = "{DiaFocus}: a Personal Health Technology for Adaptive Assessment in Long-Term Management of {Type 2} Diabetes", journal = j-TOCH, volume = "4", number = "2", pages = "13:1--13:??", month = apr, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3586579", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:05 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3586579", abstract = "Type 2 diabetes (T2D) is a large disease burden worldwide and represents an increasing and complex challenge for all societies. For the individual, T2D is a complex, multi-dimensional, and long-term challenge to manage, and it is challenging to establish \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "13", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Beh:2023:MAP, author = "Win-Ken Beh and Yu-Chia Yang and Yi-Cheng Lo and Yun-Chieh Lee and An-Yeu(Andy) Wu", title = "Machine-aided {PPG} Signal Quality Assessment {(SQA)} for Multi-mode Physiological Signal Monitoring", journal = j-TOCH, volume = "4", number = "2", pages = "14:1--14:??", month = apr, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3587256", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:05 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3587256", abstract = "Photoplethysmography (PPG) is a non-invasive technique for recording human vital signs. PPG is normally recorded by wearable devices that are prone to artifacts. This results in signal corruption that decreases measurement accuracy. Thus, a signal quality \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "14", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kyono:2023:STE, author = "Trent Kyono and Ioana Bica and Zhaozhi Qian and Mihaela van der Schaar", title = "Selecting Treatment Effects Models for Domain Adaptation Using Causal Knowledge", journal = j-TOCH, volume = "4", number = "2", pages = "15:1--15:??", month = apr, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3587695", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Fri Aug 25 12:30:05 MDT 2023", bibsource = "http://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3587695", abstract = "While a large number of causal inference models for estimating individualized treatment effects (ITE) have been developed, selecting the best one poses a unique challenge, since the counterfactuals are never observed. The problem is challenged further in \ldots{}", acknowledgement = ack-nhfb, ajournal = "", articleno = "15", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kumar:2023:FIB, author = "Vijay Kumar and Kolin Paul", title = "Fundus Imaging-Based Healthcare: Present and Future", journal = j-TOCH, volume = "4", number = "3", pages = "16:1--16:??", month = jul, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3586580", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3586580", abstract = "A fundus image is a two-dimensional pictorial representation of the membrane at the rear of the eye that consists of blood vessels, the optical disc, optical cup, macula, and fovea. Ophthalmologists use it during eye examinations to screen, diagnose, and \ldots{}", acknowledgement = ack-nhfb, articleno = "16", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Yfantidou:2023:YST, author = "Sofia Yfantidou and Pavlos Sermpezis and Athena Vakali", title = "14 Years of Self-Tracking Technology for {mHealth}-Literature Review: Lessons Learned and the {PAST SELF} Framework", journal = j-TOCH, volume = "4", number = "3", pages = "17:1--17:??", month = jul, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3592621", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3592621", abstract = "In today's connected society, many people rely on mHealth and self-tracking (ST) technology to help them adopt healthier habits with a focus on breaking their sedentary lifestyle and staying fit. However, there is scarce evidence of such technological \ldots{}", acknowledgement = ack-nhfb, articleno = "17", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Kumar:2023:DLA, author = "Vijay Kumar and Het Patel and Kolin Paul and Shorya Azad", title = "Deep Learning-assisted Retinopathy of Prematurity {(ROP)} Screening", journal = j-TOCH, volume = "4", number = "3", pages = "18:1--18:??", month = jul, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3596223", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3596223", abstract = "Retinopathy of prematurity (ROP) is a leading cause of blindness in premature infants worldwide, particularly in developing countries. In this research, we propose a Deep Convolutional Neural Network (DCNN) and image processing-based approach for the \ldots{}", acknowledgement = ack-nhfb, articleno = "18", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Demirel:2023:DDE, author = "Berken Utku Demirel and Luke Chen and Mohammad Abdullah {Al Faruque}", title = "Data-driven Energy-efficient Adaptive Sampling Using Deep Reinforcement Learning", journal = j-TOCH, volume = "4", number = "3", pages = "19:1--19:??", month = jul, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3598301", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3598301", abstract = "This article presents a resource-efficient adaptive sampling methodology for classifying electrocardiogram (ECG) signals into different heart rhythms. We present our methodology in two folds: ( i ) the design of a novel real-time adaptive neural network \ldots{}", acknowledgement = ack-nhfb, articleno = "19", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Hu:2023:ICB, author = "Hengyi Hu and Larry Kerschberg", title = "Improving Causal {Bayesian} Networks Using Expertise in Authoritative Medical Ontologies", journal = j-TOCH, volume = "4", number = "4", pages = "20:1--20:??", month = oct, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3604561", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3604561", abstract = "Discovering causal relationships among symptoms is a topical issue in the analysis of observational patient datasets. A Causal Bayesian Network (CBN) is a popular analytical framework for causal inference. While there are many methods and algorithms \ldots{}", acknowledgement = ack-nhfb, articleno = "20", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Hurley:2023:CPO, author = "Nathan C. Hurley and Sanket S. Dhruva and Nihar R. Desai and Joseph R. Ross and Che G. Ngufor and Frederick Masoudi and Harlan M. Krumholz and Bobak J. Mortazavi", title = "Clinical Phenotyping with an Outcomes-driven Mixture of Experts for Patient Matching and Risk Estimation", journal = j-TOCH, volume = "4", number = "4", pages = "21:1--21:??", month = oct, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3616021", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3616021", abstract = "Observational medical data present unique opportunities for analysis of medical outcomes and treatment decision making. However, because these datasets do not contain the strict pairing of randomized control trials, matching techniques are to draw \ldots{}", acknowledgement = ack-nhfb, articleno = "21", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Chen:2023:QGC, author = "Long Chen and Jiangtao Wang and Piyushimita (Vonu) Thakuriah", title = "Quality-Guaranteed and Cost-Effective Population Health Profiling: a Deep Active Learning Approach", journal = j-TOCH, volume = "4", number = "4", pages = "22:1--22:??", month = oct, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3617179", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3617179", abstract = "Reliability and cost are two primary considerations for profiling population-scale prevalence (PPP) of multiple non-communicable diseases (NCDs). In this paper, we exploit intra-disease and inter-disease correlation in different traditionally-sensed-areas \ldots{}", acknowledgement = ack-nhfb, articleno = "22", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Dedhia:2023:SSC, author = "Bhishma Dedhia and Roshini Balasubramanian and Niraj K. Jha", title = "{SCouT}: Synthetic Counterfactuals via Spatiotemporal Transformers for Actionable Healthcare", journal = j-TOCH, volume = "4", number = "4", pages = "23:1--23:??", month = oct, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3617180", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3617180", abstract = "The synthetic control method has pioneered a class of powerful data-driven techniques to estimate the counterfactual reality of a unit from donor units. At its core, the technique involves a linear model fitted on the pre-intervention period that combines \ldots{}", acknowledgement = ack-nhfb, articleno = "23", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Naeini:2023:DLB, author = "Emad Kasaeyan Naeini and Fatemeh Sarhaddi and Iman Azimi and Pasi Liljeberg and Nikil Dutt and Amir M. Rahmani", title = "A Deep Learning-based {PPG} Quality Assessment Approach for Heart Rate and Heart Rate Variability", journal = j-TOCH, volume = "4", number = "4", pages = "24:1--24:??", month = oct, year = "2023", CODEN = "????", DOI = "https://doi.org/10.1145/3616019", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:57 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3616019", abstract = "Photoplethysmography (PPG) is a non-invasive optical method to acquire various vital signs, including heart rate (HR) and heart rate variability (HRV). The PPG method is highly susceptible to motion artifacts and environmental noise. Unfortunately, such \ldots{}", acknowledgement = ack-nhfb, articleno = "24", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Arefeen:2024:IBI, author = "Asiful Arefeen and Ali Akbari and Seyed Iman Mirzadeh and Roozbeh Jafari and Behrooz A. Shirazi and Hassan Ghasemzadeh", title = "Inter-Beat Interval Estimation with Tiramisu Model: a Novel Approach with Reduced Error", journal = j-TOCH, volume = "5", number = "1", pages = "1:1--1:??", month = jan, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3616020", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3616020", abstract = "Inter-beat interval (IBI) measurement enables estimation of heart-tare variability (HRV) which, in turn, can provide early indication of potential cardiovascular diseases (CVDs). However, extracting IBIs from noisy signals is challenging since the \ldots{}", acknowledgement = ack-nhfb, articleno = "1", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Fan:2024:CPF, author = "Shaojing Fan and Ramesh C. Jain and Mohan S. Kankanhalli", title = "A Comprehensive Picture of Factors Affecting User Willingness to Use Mobile Health Applications", journal = j-TOCH, volume = "5", number = "1", pages = "2:1--2:??", month = jan, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3626962", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3626962", abstract = "Mobile health (mHealth) applications have become increasingly valuable in preventive healthcare and in reducing the burden on healthcare organizations. The aim of this article is to investigate the factors that influence user acceptance of mHealth apps \ldots{}", acknowledgement = ack-nhfb, articleno = "2", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Woodward:2024:CDL, author = "Kieran Woodward and Eiman Kanjo and Athanasios Tsanas", title = "Combining Deep Learning with Signal-image Encoding for Multi-Modal Mental Wellbeing Classification", journal = j-TOCH, volume = "5", number = "1", pages = "3:1--3:??", month = jan, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3631618", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3631618", abstract = "The quantification of emotional states is an important step to understanding wellbeing. Time series data from multiple modalities such as physiological and motion sensor data have proven to be integral for measuring and quantifying emotions. Monitoring \ldots{}", acknowledgement = ack-nhfb, articleno = "3", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Darco:2024:ASI, author = "Luigi D'arco and Graham Mccalmont and Haiying Wang and Huiru Zheng", title = "Application of Smart Insoles for Recognition of Activities of Daily Living: a Systematic Review", journal = j-TOCH, volume = "5", number = "1", pages = "4:1--4:??", month = jan, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3633785", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3633785", abstract = "Recent years have witnessed the increasing literature on using smart insoles in health and well-being, and yet, their capability of daily living activity recognition has not been reviewed. This paper addressed this need and provided a systematic review of \ldots{}", acknowledgement = ack-nhfb, articleno = "4", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Thakur:2024:SRH, author = "Dipanwita Thakur and Arindam Pal", title = "Subsampled Randomized {Hadamard} Transformation-based Ensemble Extreme Learning Machine for Human Activity Recognition", journal = j-TOCH, volume = "5", number = "1", pages = "5:1--5:??", month = jan, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3634813", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3634813", abstract = "Extreme Learning Machine (ELM) is becoming a popular learning algorithm due to its diverse applications, including Human Activity Recognition (HAR). In ELM, the hidden node parameters are generated at random, and the output weights are computed \ldots{}", acknowledgement = ack-nhfb, articleno = "5", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Li:2024:ERL, author = "Pei-Xuan Li and Hsun-Ping Hsieh and Yang Fan-Chiang and Ding-You Wu and Ching-Chung Ko", title = "Enhancing Robust Liver Cancer Diagnosis: a Contrastive Multi-Modality Learner with Lightweight Fusion and Effective Data Augmentation", journal = j-TOCH, volume = "5", number = "2", pages = "6:1--6:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3639414", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3639414", abstract = "This article explores the application of self-supervised contrastive learning in the medical domain, focusing on classification of multi-modality Magnetic Resonance (MR) images. To address the challenges of limited and hard-to-annotate medical data, we \ldots{}", acknowledgement = ack-nhfb, articleno = "6", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Chaudhuri:2024:GAC, author = "Anik Chaudhuri and Anwoy Kumar Mohanty and Manoranjan Satpathy", title = "{GPU} Acceleration of a Conjugate Exponential Model for Cancer Tissue Heterogeneity", journal = j-TOCH, volume = "5", number = "2", pages = "7:1--7:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3643710", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3643710", abstract = "Heterogeneity in the cell population of cancer tissues poses many challenges in cancer diagnosis and treatment. Studying the heterogeneity in cell populations from gene expression measurement data in the context of cancer research is a problem of \ldots{}", acknowledgement = ack-nhfb, articleno = "7", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Yao:2024:ITA, author = "Zhenjie Yao and Yixin Chen and Jinwei Wang and Junjuan Li and Shuohua Chen and Shouling Wu and Yanhui Tu and Ming-Hui Zhao and Luxia Zhang", title = "Interpretable Trend Analysis Neural Networks for Longitudinal Data Analysis", journal = j-TOCH, volume = "5", number = "2", pages = "8:1--8:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3648105", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3648105", abstract = "Cohort study is one of the most commonly used study methods in medical and public health researches, which result in longitudinal data. Conventional statistical models and machine learning methods are not capable of modeling the evolution trend of the \ldots{}", acknowledgement = ack-nhfb, articleno = "8", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Goh:2024:WTW, author = "Teck Lun Goh and Li-Shiuan Peh", title = "{WalkingWizard} --- a Truly Wearable {EEG} Headset for Everyday Use", journal = j-TOCH, volume = "5", number = "2", pages = "9:1--9:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3648106", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3648106", abstract = "Electroencephalography (EEG) provides an opportunity to gain insights to electrocortical activity without the need for invasive technology. While increasingly used in various application areas, EEG headsets tend to be suited only to a laboratory \ldots{}", acknowledgement = ack-nhfb, articleno = "9", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Yao:2024:SSR, author = "Hao-Ren Yao and Nairen Cao and Katina Russell and Der-Chen Chang and Ophir Frieder and Jeremy T. Fineman", title = "Self-Supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax", journal = j-TOCH, volume = "5", number = "2", pages = "10:1--10:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3648695", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3648695", abstract = "Learning Electronic Health Records (EHRs) representation is a preeminent yet under-discovered research topic. It benefits various clinical decision support applications, e.g., medication outcome prediction or patient similarity search. Current approaches \ldots{}", acknowledgement = ack-nhfb, articleno = "10", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Tazi:2024:SAP, author = "Faiza Tazi and Archana Nandakumar and Josiah Dykstra and Prashanth Rajivan and Sanchari Das", title = "{SoK}: Analyzing Privacy and Security of Healthcare Data from the User Perspective", journal = j-TOCH, volume = "5", number = "2", pages = "11:1--11:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3650116", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3650116", abstract = "Interactions in healthcare, by necessity, involve sharing sensitive information to achieve high-quality patient outcomes. Therefore, sensitive data must be carefully protected. This article explores existing privacy and security research conducted in the \ldots{}", acknowledgement = ack-nhfb, articleno = "11", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } @Article{Song:2024:LRS, author = "Siyang Song and Yiming Luo and Tugba Tumer and Changzeng Fu and Michel Valstar and Hatice Gunes", title = "Loss Relaxation Strategy for Noisy Facial Video-based Automatic Depression Recognition", journal = j-TOCH, volume = "5", number = "2", pages = "12:1--12:??", month = apr, year = "2024", CODEN = "????", DOI = "https://doi.org/10.1145/3648696", ISSN = "2691-1957 (print), 2637-8051 (electronic)", ISSN-L = "2691-1957", bibdate = "Tue Apr 30 11:06:58 MDT 2024", bibsource = "https://www.math.utah.edu/pub/tex/bib/toch.bib", URL = "https://dl.acm.org/doi/10.1145/3648696", abstract = "Automatic depression analysis has been widely investigated on face videos that have been carefully collected and annotated in lab conditions. However, videos collected under real-world conditions may suffer from various types of noise due to challenging \ldots{}", acknowledgement = ack-nhfb, articleno = "12", fjournal = "ACM Transactions on Computing for Healthcare (HEALTH)", journal-URL = "https://dl.acm.org/loi/health", } %%% [30-Apr-2024] TO DO: check possibly incomplete v5n2