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

Formative Evaluation of Digital Health Interventions (2491) mHealth for Data Collection and Research (981) Machine Learning (1501) Alcohol Abuse, Alcoholism Prevention and Recovery (303) Artificial Intelligence (1421) Decision Support for Health Professionals (1210) mHealth for Wellness, Behavior Change and Prevention (2922)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39862, first published .
Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study

Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study

Leveraging Mobile Phone Sensors, Machine Learning, and Explainable Artificial Intelligence to Predict Imminent Same-Day Binge-drinking Events to Support Just-in-time Adaptive Interventions: Algorithm Development and Validation Study

Authors of this article:

Sang Won Bae1 Author Orcid Image ;   Brian Suffoletto2 Author Orcid Image ;   Tongze Zhang1 Author Orcid Image ;   Tammy Chung3 Author Orcid Image ;   Melik Ozolcer1 Author Orcid Image ;   Mohammad Rahul Islam1 Author Orcid Image ;   Anind K Dey4 Author Orcid Image
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