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

Methods and New Tools in Mental Health Research (570) Artificial Intelligence (2216) Natural Language Processing (933) Machine Learning (2145) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2190) Infodemiology and Infoveillance (1574) Data Science (369)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76051, first published .
Triaging Casual From Critical—Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study

Triaging Casual From Critical—Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study

Triaging Casual From Critical—Leveraging Machine Learning to Detect Self-Harm and Suicide Risks for Youth on Social Media: Algorithm Development and Validation Study

Authors of this article:

Sarvech Qadir1 Author Orcid Image ;   Ashwaq Alsoubai2 Author Orcid Image ;   Jinkyung Katie Park3 Author Orcid Image ;   Naima Samreen Ali4 Author Orcid Image ;   Munmun De Choudhury5 Author Orcid Image ;   Pamela Wisniewski6 Author Orcid Image
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