Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51473, first published .
Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts

Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts

Machine Learning–Based Prediction of Suicidality in Adolescents With Allergic Rhinitis: Derivation and Validation in 2 Independent Nationwide Cohorts

Hojae Lee   1, 2 * , MSc ;   Joong Ki Cho   3 * , MD ;   Jaeyu Park   1, 2 * , MSc ;   Hyeri Lee   1, 2 * , MSc ;   Guillaume Fond   4 , MD, PhD ;   Laurent Boyer   4 , MD, PhD ;   Hyeon Jin Kim   1, 2 , MSc ;   Seoyoung Park   5 , BS ;   Wonyoung Cho   1 , PhD ;   Hayeon Lee   2, 5 , PhD ;   Jinseok Lee   5, 6 , PhD ;   Dong Keon Yon   1, 2, 7 , MD, PhD

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

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

3 Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, United States

4 Assistance Publique-Hôpitaux de Marseille, Research Centre on Health Services and Quality of Life, Aix Marseille University, Marseille, France

5 Department of Biomedical Engineering, Kyung Hee University, Yongin, Republic of Korea

6 Department of Electronics and Information Convergence Engineering, Kyung Hee University, Yongin, Republic of Korea

7 Department of Pediatrics, Kyung Hee University College of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong Keon Yon, MD, PhD
  • Department of Regulatory Science, Kyung Hee University
  • 23 Kyungheedae-ro, Dongdaemun-gu
  • Seoul, 02447
  • Republic of Korea
  • Phone: 82 2-6935-2476
  • Fax: 82 504-478-0201
  • Email: yonkkang@gmail.com