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Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

Machine Learning–Based Prediction of Substance Use in Adolescents in Three Independent Worldwide Cohorts: Algorithm Development and Validation Study

Similarly, from the initial count of 793,879 in the Ungdata, a cross-sectional survey conducted by the social research institute, Norwegian Social Research Institute (NOVA), at Oslo Metropolitan University consists of a questionnaire for school pupils throughout, only 700,660 participants were selected after data processing (Figure 1 C).

Soeun Kim, Hyejun Kim, Seokjun Kim, Hojae Lee, Ahmed Hammoodi, Yujin Choi, Hyeon Jin Kim, Lee Smith, Min Seo Kim, Guillaume Fond, Laurent Boyer, Sung Wook Baik, Hayeon Lee, Jaeyu Park, Rosie Kwon, Selin Woo, Dong Keon Yon

J Med Internet Res 2025;27:e62805