Machine learning-based prediction of substance use in adolescents: Derivation and validation in multinational datasets in South Korea, USA, and Norway (Preprint)
Hojae Lee,
Hyejun Kim,
Seokjun Kim
et al.
Abstract:BACKGROUND
We aimed to address gaps in global understanding of cultural and social variations by employing a high-performance machine learning model to predict adolescent substance use across three national datasets.
OBJECTIVE
This study aims to develop a predictive model for adolescent substance use using multinational datasets and machine learning(ML).
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