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

Development and Evaluation of Research Methods, Instruments and Tools (798) Alcohol Abuse, Alcoholism Prevention and Recovery (351) Substance Abuse (555) Ecological Momentary Assessment (EMA) (434) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2250) Machine Learning (2221)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73265, first published .
Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

Idiographic Lapse Prediction With State Space Modeling: Algorithm Development and Validation Study

Authors of this article:

Eric Pulick1 Author Orcid Image ;   John Curtin2 Author Orcid Image ;   Yonatan Mintz1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Kwon M, Song J, Hwang J, Seong S, Park K, Jo Y, Kim Y, Ahn M, Lee S. Personalizing ecological momentary intervention for substance use disorders through data-driven decision rules. Frontiers in Psychiatry 2026;17 View

Conference Proceedings

  1. Pulick E, Mintz Y. 2025 IEEE 64th Conference on Decision and Control (CDC). An Adaptive Control Approach to Treatment Selection for Substance Use Disorders View