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

Fitness Trackers and Smart Pedometers/Accelerometers (815) mHealth for Wellness, Behavior Change and Prevention (4349) Machine Learning (3365) Innovations and Technology for Physical Activity Education (1085) Artificial Intelligence (5073)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18142, first published .
Woman checking fitness tracker and smartphone after workout

Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study

Neural Network–Based Algorithm for Adjusting Activity Targets to Sustain Exercise Engagement Among People Using Activity Trackers: Retrospective Observation and Algorithm Development Study

Authors of this article:

Ramin Mohammadi1, 2 Author Orcid Image ;   Mursal Atif2 Author Orcid Image ;   Amanda Jayne Centi2 Author Orcid Image ;   Stephen Agboola2, 3, 4 Author Orcid Image ;   Kamal Jethwani2, 3, 4 Author Orcid Image ;   Joseph Kvedar2, 3, 4 Author Orcid Image ;   Sagar Kamarthi1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (8) Metrics

Journals

  1. Jiang J, Qin L, Shen Y. Comparative effects of exercise modalities on ectopic fat reduction in overweight and obese children and adolescents: a narrative review. European Journal of Pediatrics 2026;185(6) View
  2. Liu T, Choi H, Swaminathan S, Jeong H. AI-Driven Rehabilitation Systems for Supporting Motivation, Engagement, and Adherence: A Scoping Review (Preprint). JMIR Rehabilitation and Assistive Technologies 2025 View

Books/Policy Documents

  1. Davids J, Ashrafian H. Artificial Intelligence in Medicine. View
  2. Davids J, Ashrafian H. Artificial Intelligence in Medicine. View
  3. Guerriero M, Basta A, Ruberto M, Moscatelli F, Mancini N, Monda M, Messina G, Polito R, Colecchia F. Higher Education Learning Methodologies and Technologies Online. View