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Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review

Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review

Given the dynamic nature of critically ill patients, one machine learning method called reinforcement learning (RL) is particularly suitable for ICU settings.Fundamentals of Reinforcement LearningRL is a goal-oriented learning tool where a computer agent, acting

Siqi Liu, Kay Choong See, Kee Yuan Ngiam, Leo Anthony Celi, Xingzhi Sun, Mengling Feng

J Med Internet Res 2020;22(7):e18477

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

Few studies applied a reinforcement learning (RL) algorithm for controlling blood glucose for type 1 diabetes.Only a few studies have applied model-based RL algorithm for controlling blood glucose levels for type 1 diabetes.

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

JMIR Diabetes 2019;4(3):e12905

Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

Encouraging Physical Activity in Patients With Diabetes: Intervention Using a Reinforcement Learning System

Reinforcement Learning (RL) algorithms [11], in contrast, are algorithms that learn by observing the result of an action taken by them and so can be applied in settings where data are scarce or varying.

Elad Yom-Tov, Guy Feraru, Mark Kozdoba, Shie Mannor, Moshe Tennenholtz, Irit Hochberg

J Med Internet Res 2017;19(10):e338

Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults

Feasibility and Acceptability of Mobile Phone–Based Auto-Personalized Physical Activity Recommendations for Chronic Pain Self-Management: Pilot Study on Adults

MyBehaviorCBP uses machine learning on sensor data and self-reported physical activity logs and automatically generates physical activity recommendations based on an individual’s past behavior.

Mashfiqui Rabbi, Min SH Aung, Geri Gay, M Cary Reid, Tanzeem Choudhury

J Med Internet Res 2018;20(10):e10147

A Text Messaging Intervention for Coping With Social Distancing During COVID-19 (StayWell at Home): Protocol for a Randomized Controlled Trial

A Text Messaging Intervention for Coping With Social Distancing During COVID-19 (StayWell at Home): Protocol for a Randomized Controlled Trial

Additionally, we will compare the effectiveness of sending messages on a random schedule using a microrandomized trial (MRT) design [16], further referred to as uniform random (UR), or sending messages via a reinforcement learning (RL) algorithm on the overall

Caroline Astrid Figueroa, Rosa Hernandez-Ramos, Claire Elizabeth Boone, Laura Gómez-Pathak, Vivian Yip, Tiffany Luo, Valentín Sierra, Jing Xu, Bibhas Chakraborty, Sabrina Darrow, Adrian Aguilera

JMIR Res Protoc 2021;10(1):e23592

Archetypes of Gamification: Analysis of mHealth Apps

Archetypes of Gamification: Analysis of mHealth Apps

Archetype 4 does not contain competitive or collaborative elements, but rather relies on positive reinforcement. It aims to improve the users’ health through an episodic narrative of externally set goals.

Manuel Schmidt-Kraepelin, Philipp A. Toussaint, Scott Thiebes, Juho Hamari, Ali Sunyaev

JMIR Mhealth Uhealth 2020;8(10):e19280

Effects of Social Network Exposure on Nutritional Learning: Development of an Online Educational Platform

Effects of Social Network Exposure on Nutritional Learning: Development of an Online Educational Platform

specific intervention characteristics [2,3].Leveraging Social Networking Sites for Public Health PurposesSocial networking sites (SNSs) are a major component of Internet use by young adults [4], partly due to their ability to engage the human need for social reinforcement

Noa Dagan, Daniel Beskin, Mayer Brezis, Ben Y Reis

JMIR Serious Games 2015;3(2):e7

Physician Anxiety and Burnout: Symptom Correlates and a Prospective Pilot Study of App-Delivered Mindfulness Training

Physician Anxiety and Burnout: Symptom Correlates and a Prospective Pilot Study of App-Delivered Mindfulness Training

In particular, medical students are subject to environments and situations that trigger stress and anxiety responses that can be reinforced over time through well-described operant conditioning learning pathways (reinforcement learning, positive and negative

Alexandra Roy, Susan Druker, Elizabeth A Hoge, Judson A Brewer

JMIR Mhealth Uhealth 2020;8(4):e15608

Community Gardening as a Way to Build Cross-Cultural Community Resilience in Intersectionally Diverse Gardeners: Community-Based Participatory Research and Campus-Community-Partnered Proposal

Community Gardening as a Way to Build Cross-Cultural Community Resilience in Intersectionally Diverse Gardeners: Community-Based Participatory Research and Campus-Community-Partnered Proposal

in both our pre- and postsurveys and qualitative interviews, as well as in our photovoice interviews with plot owners.Aim 3Our third aim is to establish the extent to which community garden plot ownership and support by The Village Community Garden & Learning

Angie Mejia, Manami Bhattacharya, Joshua Miraglia, The Village Community Garden & Learning Center

JMIR Res Protoc 2020;9(10):e21218

Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors

Reciprocal Reinforcement Between Wearable Activity Trackers and Social Network Services in Influencing Physical Activity Behaviors

LINE can provide the aforementioned functions as well as group chat, in which members of the group can set up shared note pages and albums, and manage member lists easily [37].We believe that SS from interpersonal interactions can achieve constructive reinforcement

Rebecca Cherng-Shiow Chang, Hsi-Peng Lu, Peishan Yang, Pin Luarn

JMIR Mhealth Uhealth 2016;4(3):e84