Published on in Vol 7 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/39862, first published
.
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
- Perski O, Kale D, Leppin C, Okpako T, Simons D, Goldstein S, Hekler E, Brown J, Or C. Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development. PLOS Digital Health 2024;3(8):e0000594 View
- Bae S, Chung T, Zhang T, Dey A, Islam R. Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study. JMIR AI 2025;4:e52270 View
- Suffoletto B. Commentary on Östh et al.: Sensor‐based approaches to inform alcohol interventions – beyond BAC. Addiction 2025;120(5):919 View
- Pulick E, Curtin J, Mintz Y. Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study. JMIR Formative Research 2025;9:e73265 View
- Navarro-Ovando V, van Schie S, Garrelfs I, Rijksbaron J, Rivero C, Mathôt R, Dumont G. Current approaches using remote monitoring technology in alcohol use disorder (AUD): an integrative review. Alcohol and Alcoholism 2025;60(4) View
Conference Proceedings
- Lee H, Kim A, Bae S, Lee U. Proceedings of the CHI Conference on Human Factors in Computing Systems. S-ADL: Exploring Smartphone-based Activities of Daily Living to Detect Blood Alcohol Concentration in a Controlled Environment View
- Huang X, Dai Z, Wang K, Luo X. Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence. Machine Learning-Based Prediction of Binge Drinking among Adults in the United State: Analysis of the 2022 Health Information National Trends Survey View
- Zhang T, Chung T, Dey A, Bae S. 2024 International Conference on Activity and Behavior Computing (ABC). Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults View