This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (705) Decision Support for Health Professionals (1168) Machine Learning (1445) Intentional Self-Harm (96) Artificial Intelligence (1346) Clinical Information and Decision Making (1382) Depression and Mood Disorders; Suicide Prevention (1352)

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

Authors of this article:

Hojae Lee1, 2 Author Orcid Image ;   Joong Ki Cho3 Author Orcid Image ;   Jaeyu Park1, 2 Author Orcid Image ;   Hyeri Lee1, 2 Author Orcid Image ;   Guillaume Fond4 Author Orcid Image ;   Laurent Boyer4 Author Orcid Image ;   Hyeon Jin Kim1, 2 Author Orcid Image ;   Seoyoung Park5 Author Orcid Image ;   Wonyoung Cho1 Author Orcid Image ;   Hayeon Lee2, 5 Author Orcid Image ;   Jinseok Lee5, 6 Author Orcid Image ;   Dong Keon Yon1, 2, 7 Author Orcid Image
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