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

Development and Evaluation of Research Methods, Instruments and Tools (684) Machine Learning (1887) Depression and Mood Disorders; Suicide Prevention (1586) Clinical Information and Decision Making (1760) Intentional Self-Harm (120) Decision Support for Health Professionals (1432)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46364, first published .
Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study

Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study

Determining Distinct Suicide Attempts From Recurrent Electronic Health Record Codes: Classification Study

Authors of this article:

Kate H Bentley1, 2 Author Orcid Image ;   Emily M Madsen1, 3 Author Orcid Image ;   Eugene Song1, 3 Author Orcid Image ;   Yu Zhou1, 3 Author Orcid Image ;   Victor Castro4 Author Orcid Image ;   Hyunjoon Lee1, 3 Author Orcid Image ;   Younga H Lee2, 3 Author Orcid Image ;   Jordan W Smoller1, 2, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (3) Metrics

Journals

  1. Xu R, Bode L, Geva A, Mandl K, McMurry A. Accuracy of ICD-10 Codes for Suicidal Ideation and Action in Pediatric Emergency Department Encounters. Pediatric Emergency Care 2025;41(5):378 View
  2. Bentley K, Kennedy C, Khadse P, Brooks Stephens J, Madsen E, Flics M, Lee H, Smoller J, Burke T. Clinician Suicide Risk Assessment for Prediction of Suicide Attempt in a Large Health Care System. JAMA Psychiatry 2025;82(6):599 View
  3. Castro V, Gainer V, Crookes D, Murphy S, Manjourides J. Comparing patient-reported symptoms and structured clinician documentation in electronic health records. Journal of the American Medical Informatics Association 2025 View
  4. Pagliaccio D, Kirshenbaum J, Keyes K, Auerbach R. Childhood Suicide Risk in the Emergency Department. JAMA Network Open 2025;8(7):e2522591 View