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This paper is in the following e-collection/theme issue:

Non-Randomized Studies (funded, eHealth) (137) Formative Studies and eHealth/mHealth Development (595) Tools, Programs and Algorithms (409) Innovations and Technology for Physical Activity Education (973) Web-based and Mobile Health Interventions (4220) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (688) mHealth for Wellness, Behavior Change and Prevention (3432) Patient Engagement and Empowerment (127) Machine Learning (2236)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73766, first published .
Automated Personalized Goal Setting for Individual Exercise Behavior: Protocol for a Web-Based Adaptive Intervention Trial

Automated Personalized Goal Setting for Individual Exercise Behavior: Protocol for a Web-Based Adaptive Intervention Trial

Automated Personalized Goal Setting for Individual Exercise Behavior: Protocol for a Web-Based Adaptive Intervention Trial

Authors of this article:

Juan Carlos Caro1 Author Orcid Image ;   Phuong H Nguyen2 Author Orcid Image ;   Stefan Lipman2 Author Orcid Image
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Journals

  1. Caro J, Galgano G, Muñoz M, Díaz Ramírez J, Maluenda J. Evidence-Driven Simulated Data in Reinforcement Learning Training for Personalized mHealth Interventions. Applied Sciences 2026;16(7):3463 View