Drug and alcohol dependenceHumansMaleFemaleAdultSubstance-Related Disorders
Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort.
Gabriel Zamora, Tommy Gunawan, Qingyu Zhao, Alejandro D Meruelo
Published: 202610.1016/j.drugalcdep.2025.113012
Abstract
BACKGROUND: Predicting progression from substance use to substance use disorder (SUD) is challenging, particularly for participants with cannabis and stimulant use who follow distinct risk trajectories. Machine learning enables integration of demogra…
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