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

BACKGROUND: Digital just-in-time adaptive interventions can reduce binge-drinking events (BDEs; consuming ≥4 drinks for women and ≥5 drinks for men per occasion) in young adults but need to be optimized for timing and content. Delivering just-in-time support messages in the hours prior to BDEs could...

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Detalles Bibliográficos
Autores principales: Bae, Sang Won, Suffoletto, Brian, Zhang, Tongze, Chung, Tammy, Ozolcer, Melik, Islam, Mohammad Rahul, Dey, Anind K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196900/
https://www.ncbi.nlm.nih.gov/pubmed/36809294
http://dx.doi.org/10.2196/39862

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10196900/
https://www.ncbi.nlm.nih.gov/pubmed/36809294
http://dx.doi.org/10.2196/39862

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