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

Hyejun Kim   ^{1, 2 *} , BS ;   Yejun Son   ^{1, 3 *} , MS ;   Hojae Lee   ^{1, 4 *} , MS ;   Jiseung Kang   ^{5, 6} , PhD ;   Ahmed Hammoodi   ⁷ , BS ;   Yujin Choi   ^{1, 8} , BS ;   Hyeon Jin Kim   ^{1, 4} , MS ;   Hayeon Lee   ¹ , MS ;   Guillaume Fond   ⁹ , PhD ;   Laurent Boyer   ⁹ , PhD ;   Rosie Kwon   ¹ , MS ;   Selin Woo   ¹ , PhD ;   Dong Keon Yon   ^{1, 3, 4, 10} , MD, PhD

¹ Center for Digital Health, Medical Science Research Institute, Kyung Hee University College of Medicine, Seoul, Korea, Republic of

² Department of Applied Information Engineering, Yonsei University, Seoul, Korea, Republic of

³ Department of Precision Medicine, Kyung Hee University College of Medicine, Seoul, Korea, Republic of

⁴ Department of Regulatory Science, Kyung Hee University, Seoul, Korea, Republic of

⁵ Division of Sleep Medicine, Harvard Medical School, Boston, MA, United States

⁶ Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, United States

⁷ Department of Business Administration, Kyung Hee University School of Management, Seoul, Korea, Republic of

⁸ Department of Korean Medicine, Kyung Hee University College of Korean Medicine, Seoul, Korea, Republic of

⁹ Assistance Publique–Hôpitaux de Marseille (APHM), CEReSS–Health Service Research and Quality of Life Center, Aix–Marseille University, Marseille, France

¹⁰ Department of Pediatrics, Kyung Hee University Medical Center, Kyung Hee University College of Medicine, Seoul, Korea, Republic of

*these authors contributed equally