August 22, 2024Open Access

Machine learning models for temporally precise lapse prediction in alcohol use disorder.

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Abstract

We developed three machine learning models that predict hour-by-hour probabilities of a future lapse back to alcohol use with increasing temporal precision (i.e., lapses in the next week, next day, and next hour). Model features were based on raw scores and longitudinal change in theoretically implicated risk factors collected through ecological momentary assessment. Participants (

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Wyant et al. (Thu,) studied this question.

synapsesocial.com/papers/68e5b5efb6db64358754e61e https://doi.org/https://doi.org/10.1037/abn0000901

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