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Effectiveness of a Digital Health Intervention Leveraging Reinforcement Learning: Results From the Diabetes and Mental Health Adaptive Notification Tracking and Evaluation (DIAMANTE) Randomized Clinical Trial

Adrian Aguilera, Marvyn Arévalo Avalos, Jing Xu, Bibhas Chakraborty, Caroline Figueroa, Faviola Garcia, Karina Rosales, Rosa Hernandez-Ramos, Chris Karr, Joseph Williams, Lisa Ochoa-Frongia, Urmimala Sarkar, Elad Yom-Tov, Courtney Lyles

J Med Internet Res 2024;26:e60834

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Testing the Effects of App-Based Motivational Messages on Physical Activity and Resting Heart Rate Through Smartphone App Compliance in Patients With Vulnerable Coronary Artery Plaques: Protocol for a Microrandomized Trial

Sayan Mitra, Cynthia M Kroeger, Jing Xu, Leah Avery, Andrius Masedunskas, Sophie Cassidy, Tian Wang, Imre Hunyor, Ian Wilcox, Robin Huang, Bibhas Chakraborty, Luigi Fontana

JMIR Res Protoc 2023;12:e46082

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Participant Engagement in Microrandomized Trials of mHealth Interventions: Scoping Review

Utek Leong, Bibhas Chakraborty

JMIR Mhealth Uhealth 2023;11:e44685

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Leveraging Large-Scale Electronic Health Records and Interpretable Machine Learning for Clinical Decision Making at the Emergency Department: Protocol for System Development and Validation

Nan Liu, Feng Xie, Fahad Javaid Siddiqui, Andrew Fu Wah Ho, Bibhas Chakraborty, Gayathri Devi Nadarajan, Kenneth Boon Kiat Tan, Marcus Eng Hock Ong

JMIR Res Protoc 2022;11(3):e34201

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A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study

Adrian Aguilera, Rosa Hernandez-Ramos, Alein Y Haro-Ramos, Claire Elizabeth Boone, Tiffany Christina Luo, Jing Xu, Bibhas Chakraborty, Chris Karr, Sabrina Darrow, Caroline Astrid Figueroa

JMIR Ment Health 2021;8(11):e25298

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

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

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AutoScore: A Machine Learning–Based Automatic Clinical Score Generator and Its Application to Mortality Prediction Using Electronic Health Records

Feng Xie, Bibhas Chakraborty, Marcus Eng Hock Ong, Benjamin Alan Goldstein, Nan Liu

JMIR Med Inform 2020;8(10):e21798

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COVID-19 in India: Statewise Analysis and Prediction

Palash Ghosh, Rik Ghosh, Bibhas Chakraborty

JMIR Public Health Surveill 2020;6(3):e20341

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The Effectiveness of Web-Based Tailored Smoking Cessation Interventions on the Quitting Process (Project Quit): Secondary Analysis of a Randomized Controlled Trial

Bibhas Chakraborty, Raju Maiti, Victor J Strecher

J Med Internet Res 2018;20(6):e213

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The Role of Engagement in a Tailored Web-Based Smoking Cessation Program: Randomized Controlled Trial

Victor J Strecher, Jennifer McClure, Gwen Alexander, Bibhas Chakraborty, Vijay Nair, Janine Konkel, Sarah Greene, Mick Couper, Carola Carlier, Cheryl Wiese, Roderick Little, Cynthia Pomerleau, Ovide Pomerleau

J Med Internet Res 2008;10(5):e36

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