Identifying risk factors for marijuana use among male high school students using machine learning: Implications for public health.
OBJECTIVES To identify risk and protective factors associated with lifetime marijuana use among male high school students through an interpretable machine learning model, providing evidence to support early and targeted public health interventions. STUDY DESIGN Cross-sectional analysis of 2023 Youth Risk Behavior Sur...