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

mHealth for Wellness, Behavior Change and Prevention (4197) Substance Abuse (649) Alcohol Abuse, Alcoholism Prevention and Recovery (377) Wearable Devices and Sensors (1520) Machine Learning (3043) Digital Biomarkers and Digital Phenotyping (419)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/88223, first published .
Woman with smartwatch drinks juice, checking health data on her wrist.

Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study

Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study

Authors of this article:

Jae Seok Kwak1 Author Orcid Image ;   Hae Kook Lee2 Author Orcid Image ;   Sun-Jin Jo3 Author Orcid Image ;   Jun Hyuk Kwon4 Author Orcid Image ;   Sun Jung Kwon5 Author Orcid Image ;   Yena Kim5 Author Orcid Image ;   Haejung Lee6 Author Orcid Image
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