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

Mental Health Issues in Adolescence (792) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (3339) Clinical Information and Decision Making (3868) Depression and Mood Disorders; Suicide Prevention (2518) Machine Learning (3319) Intentional Self-Harm (196)

Published on in Vol 9 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/95340, first published .
Sad teenager sitting alone on steps, head down, conveying feelings of depression and isolation.

Development and Internal Validation of an Interpretable Machine Learning Model for Identifying Past-Year Nonsuicidal Self-Injury Among Adolescents With Depression: Retrospective Study

Development and Internal Validation of an Interpretable Machine Learning Model for Identifying Past-Year Nonsuicidal Self-Injury Among Adolescents With Depression: Retrospective Study

Authors of this article:

Gaoyang Liu1, 2 Author Orcid Image ;   Chenxi Yang3 Author Orcid Image ;   Wendan Chen2 Author Orcid Image ;   Ningning Ding2 Author Orcid Image ;   Wenwen Tian2 Author Orcid Image ;   Xinwu Ye4 Author Orcid Image ;   Mengdan Luo2 Author Orcid Image ;   Xinnan Mao5 Author Orcid Image ;   Guohua Zhang2, 6, 7 Author Orcid Image ;   Ke Zheng4 Author Orcid Image
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