Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study
- DOI
- 10.2196/88223
- Published
- 2026-07-10
- Container
- JMIR mHealth and uHealth
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/88223,
title = {Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study},
author = {Jae Seok Kwak and Hae Kook Lee and Sun-Jin Jo and Jun Hyuk Kwon and Sun Jung Kwon and Yena Kim and Haejung Lee},
year = {2026},
journal = {JMIR mHealth and uHealth},
doi = {10.2196/88223},
url = {https://doi.org/10.2196/88223}
}RIS
TY - JOUR TI - Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study AU - Jae Seok Kwak AU - Hae Kook Lee AU - Sun-Jin Jo AU - Jun Hyuk Kwon AU - Sun Jung Kwon AU - Yena Kim AU - Haejung Lee PY - 2026 JO - JMIR mHealth and uHealth DO - 10.2196/88223 UR - https://doi.org/10.2196/88223 ER -
APA
Kwak, J. S., Lee, H. K., Jo, S., Kwon, J. H., Kwon, S. J., Kim, Y., & Lee, H. (2026). Week-Ahead Prediction of High-Risk Drinking Episodes Among Young Adults Using Wearable Biosignals and Psychological Vulnerabilities: Prospective Observational Machine Learning Study. JMIR mHealth and uHealth. https://doi.org/10.2196/88223
Source records
- crossref · retrieved 2026-09-26T16:41:34.059Z