Pooled and person-specific machine learning models for predicting future alcohol consumption, craving, and wanting to drink: A demonstration of parallel utility.
Peter D SoysterLeighann AshlockAaron J FisherPublished in: Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors (2021)
Using a person-specific constellation of psychosocial and temporal variables, it may be possible to accurately predict drinking behavior, affect, and cognitions before they occur. (PsycInfo Database Record (c) 2022 APA, all rights reserved).