Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55913, first published .
Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study

Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study

Machine Learning–Based Prediction of Suicidal Thinking in Adolescents by Derivation and Validation in 3 Independent Worldwide Cohorts: Algorithm Development and Validation Study

Journals

  1. Cho J, Park J, Lee H, Jo H, Lee S, Kim H, Son Y, Kim H, Woo S, Kim S, Kang J, Pizzol D, Hwang J, Smith L, Yon D. National trends in adolescents’ mental health by income level in South Korea, pre– and post–COVID–19, 2006–2022. Scientific Reports 2024;14(1) View
  2. Lee J, Son Y, Park J, Lee H, Choi Y, Lee M, Kim S, Kang J, Oh J, Kim H, Rhee S, Smith L, Yon D. Comparison of national trends in physical activity among adolescents before and during the COVID-19 pandemic: A nationally representative serial study in South Korea. Heliyon 2024;10(21):e40004 View
  3. Hwang S, Lee H, Lee J, Lee M, Koyanagi A, Smith L, Rhee S, Yon D, Lee J. Machine Learning–Based Prediction for Incident Hypertension Based on Regular Health Checkup Data: Derivation and Validation in 2 Independent Nationwide Cohorts in South Korea and Japan. Journal of Medical Internet Research 2024;26:e52794 View