Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47774, first published .
Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Machine Learning Methods to Personalize Persuasive Strategies in mHealth Interventions That Promote Physical Activity: Scoping Review and Categorization Overview

Journals

  1. Smiley A, Finkelstein J. Dynamic Prediction of Physical Exertion: Leveraging AI Models and Wearable Sensor Data During Cycling Exercise. Diagnostics 2024;15(1):52 View
  2. Garofano M, Del Sorbo R, Calabrese M, Giordano M, Di Palo M, Bartolomeo M, Ragusa C, Ungaro G, Fimiani G, Di Spirito F, Amato M, Ciccarelli M, Pascarelli C, Scanniello G, Bramanti P, Bramanti A. Remote Rehabilitation and Virtual Reality Interventions Using Motion Sensors for Chronic Low Back Pain: A Systematic Review of Biomechanical, Pain, Quality of Life, and Adherence Outcomes. Technologies 2025;13(5):186 View