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A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study

A Reinforcement Learning–Based Method for Management of Type 1 Diabetes: Exploratory Study

Q-learning works by estimating a set of Q-values, which serves as the role of a value function. In the Q-learning algorithm, Q-values are estimated for each state-action (st,at) combination.

Mahsa Oroojeni Mohammad Javad, Stephen Olusegun Agboola, Kamal Jethwani, Abe Zeid, Sagar Kamarthi

JMIR Diabetes 2019;4(3):e12905


Pragmatists, Positive Communicators, and Shy Enthusiasts: Three Viewpoints on Web Conferencing in Health Sciences Education

Pragmatists, Positive Communicators, and Shy Enthusiasts: Three Viewpoints on Web Conferencing in Health Sciences Education

Yet a recent review of e-learning research in Canada indicated that the majority of the research appears to have focused on distance education, with less attention placed on hybrid/blended (mixed online and face-to-face) learning contexts.

Ruta Valaitis, Noori Akhtar-Danesh, Kevin Eva, Anthony Levinson, Bruce Wainman

J Med Internet Res 2007;9(5):e39


You Get What You Pay for on Health Care Question and Answer Platforms: Nonparticipant Observational Study

You Get What You Pay for on Health Care Question and Answer Platforms: Nonparticipant Observational Study

Using actual Q&As from Q&A websites and applying a nonparticipatory data collection method, where the observer does not participate in the social setting, improve the precision of the research results [21].

Fatemeh Ameri, Kathleen Keeling, Reza Salehnejad

J Med Internet Res 2020;22(1):e13534


Active-Q: Validation of the Web-Based Physical Activity Questionnaire Using Doubly Labeled Water

Active-Q: Validation of the Web-Based Physical Activity Questionnaire Using Doubly Labeled Water

Participants received the first Active-Q questionnaire (Active-Q-I ) 7 days after the start of the study; they received the second questionnaire (Active-Q-II) two weeks later. Questionnaires were distributed via email.

Stephanie Erika Bonn, Ylva Trolle Lagerros, Sara Elisabeth Christensen, Elisabeth Möller, Antony Wright, Arvid Sjölander, Katarina Bälter

J Med Internet Res 2012;14(1):e29


Web-Based Measure of Life Events Using Computerized Life Events and Assessment Record (CLEAR): Preliminary Cross-Sectional Study of Reliability, Validity, and Association With Depression

Web-Based Measure of Life Events Using Computerized Life Events and Assessment Record (CLEAR): Preliminary Cross-Sectional Study of Reliability, Validity, and Association With Depression

Additional questionnaires included the List of Threatening Experiences Questionnaire (LTE-Q) and General Health Questionnaire.Life events and long-term problems are subsumed under 3 overarching groups, each of which is organized into several categories based

Antonia Bifulco, Ruth Spence, Stephen Nunn, Lisa Kagan, Deborah Bailey-Rodriguez, Georgina M Hosang, Matthew Taylor, Helen L Fisher

JMIR Ment Health 2019;6(1):e10675


Recruiting Student Health Coaches to Improve Digital Blood Pressure Management: Randomized Controlled Pilot Study

Recruiting Student Health Coaches to Improve Digital Blood Pressure Management: Randomized Controlled Pilot Study

OutcomesThere was a total of 97 and 264 distinct uses of QardioArm in the Q group and S+Q group, respectively.

Elena Vasti, Mark J Pletcher

JMIR Form Res 2020;4(8):e13637


SimQ: Real-Time Retrieval of Similar Consumer Health Questions

SimQ: Real-Time Retrieval of Similar Consumer Health Questions

Developing efficient methods to retrieve similar questions on the Q&A platforms can help unleash the power of the archived Q&A as important knowledge bases, and make the archived information more accessible to consumers.

Jake Luo, Guo-Qiang Zhang, Susan Wentz, Licong Cui, Rong Xu

J Med Internet Res 2015;17(2):e43