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

Web-based and Mobile Health Interventions (3297) Machine Learning (1465) Digital Biomarkers and Digital Phenotyping (191) Mobile Health in Psychiatry (426) Mobile Health (mhealth) (2939) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (491) mHealth for Wellness, Behavior Change and Prevention (2871) Behavior Change (712)

Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27218, first published .
Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial

Authors of this article:

Meelim Kim1 Author Orcid Image ;   Jaeyeong Yang2 Author Orcid Image ;   Woo-Young Ahn2, 3 Author Orcid Image ;   Hyung Jin Choi1, 4 Author Orcid Image
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