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](https://asset.jmir.pub/assets/c9864050c1857142ed8f1af5682ffb41.png 480w,https://asset.jmir.pub/assets/c9864050c1857142ed8f1af5682ffb41.png 960w,https://asset.jmir.pub/assets/c9864050c1857142ed8f1af5682ffb41.png 1920w,https://asset.jmir.pub/assets/c9864050c1857142ed8f1af5682ffb41.png 2500w)
Journals
- Wyant K, Moshontz H, Ward S, Fronk G, Curtin J. Acceptability of Personal Sensing Among People With Alcohol Use Disorder: Observational Study. JMIR mHealth and uHealth 2023;11:e41833 View
- Khan M, Chang S. Alcohol and the Brain–Gut Axis: The Involvement of Microglia and Enteric Glia in the Process of Neuro-Enteric Inflammation. Cells 2023;12(20):2475 View
- Sezgin E, McKay I. Behavioral health and generative AI: a perspective on future of therapies and patient care. npj Mental Health Research 2024;3(1) View