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

Intentional Self-Harm (196) Electronic Health Records (1788) Depression and Mood Disorders; Suicide Prevention (2518) Diagnostic Tools in Mental Health (454) Mental Health Issues in Adolescence (793)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82371, first published .
Young boy lying in a hospital bed, looking tired

Detecting Pediatric Emergency Service Use for Suicide and Self-Harm: Multimodal Analysis of 3828 Encounters

Detecting Pediatric Emergency Service Use for Suicide and Self-Harm: Multimodal Analysis of 3828 Encounters

Authors of this article:

Juliet Beni Edgcomb1 Author Orcid Image ;   Angshuman Saha2 Author Orcid Image ;   Alexandra Klomhaus2 Author Orcid Image ;   Elyse Tascione1 Author Orcid Image ;   Chrislie G Ponce1 Author Orcid Image ;   Joshua J Lee2 Author Orcid Image ;   Theona Tacorda3 Author Orcid Image ;   Bonnie T Zima1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Saha D, Edgcomb J. Practical Guide to Large Language Models for Information Extraction in Behavioral Health Notes: Tutorial. JMIR Mental Health 2026;13:e97498 View
  2. Doyle A, Ramachandiran A, Bugarinovic M, Gunning F, Verhaak P, Vuijk P, Doshi-Velez F, Perlis R. EHR-based machine learning for psychiatric outcomes in youth and young adults: Challenges and opportunities. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 2026 View