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

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Detaylı Bibliyografya
Yayımlandı:	Journal of Medical Internet Research vol. 27 (2025), p. e62805
Yazar:	Kim, Soeun
Diğer Yazarlar:	Kim, Hyejun, Kim, Seokjun, Lee, Hojae, Hammoodi, Ahmed, Choi, Yujin, Hyeon Jin Kim, Smith, Lee, Min Seo Kim, Fond, Guillaume, Boyer, Laurent, Baik, Sung Wook, Lee, Hayeon, Park, Jaeyu, Kwon, Rosie, Woo, Selin, Dong Keon Yon
Baskı/Yayın Bilgisi:	Gunther Eysenbach MD MPH, Associate Professor
Konular:	Python Software Foundation South Korea United States > US Norway Behavior Software Accuracy Students Risk behavior Collaboration Datasets Adolescents Hopelessness Mental disorders Questionnaires Data processing Suicide Social research Prediction models Machine learning Smoking Alcohol use Validation studies Substance abuse Suicidal ideation Drug use Sadness Additives Algorithms Mental health Polls & surveys Secondary schools Teenagers Disease control Suicides & suicide attempts Drinking behavior Youth Validity Internet Body weight Substance use disorder
Online Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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