Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82371, first published .
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

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

Juliet Beni Edgcomb   1 , MD, PhD ;   Angshuman Saha   2 , PhD ;   Alexandra Klomhaus   2 , PhD ;   Elyse Tascione   1 , MA ;   Chrislie G Ponce   1 , BA ;   Joshua J Lee   2 , BS ;   Theona Tacorda   3 , MS ;   Bonnie T Zima   1 , MD, MPH

1 Mental Health Informatics and Data Science (MINDS) Hub, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States

2 Department of Medicine Statistics Core, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States

3 Biomedical Informatics Program, Clinical and Translational Science Institute, University of California, Los Angeles, Los Angeles, CA, United States

Corresponding Author:

  • Juliet Beni Edgcomb, MD, PhD
  • Mental Health Informatics and Data Science (MINDS) Hub
  • Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles
  • 760 Westwood Plz
  • Los Angeles, CA 90095
  • United States
  • Phone: 1 310-825-9989
  • Email: jedgcomb@mednet.ucla.edu