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

Early Results in Infodemiology and Infoveillance (111) Methods and New Tools in Mental Health Research (582) Depression and Mood Disorders; Suicide Prevention (1749) Longitudinal and Cohort Studies in Public Health (431)

Published on in Vol 10 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/81499, first published .
Identifying Undiagnosed High-Risk Suicidality Cases by Matching Patients With a Similar Comorbidity Burden: Retrospective Observational Study

Identifying Undiagnosed High-Risk Suicidality Cases by Matching Patients With a Similar Comorbidity Burden: Retrospective Observational Study

Identifying Undiagnosed High-Risk Suicidality Cases by Matching Patients With a Similar Comorbidity Burden: Retrospective Observational Study

Authors of this article:

Louisa Bode1, 2 Author Orcid Image ;   Rena Xu2, 3 Author Orcid Image ;   Matthew Garber2 Author Orcid Image ;   Kenneth D Mandl2 Author Orcid Image ;   Andrew J Mcmurry2, 4 Author Orcid Image
Article Authors Cited by Tweetations (2) Metrics

Louisa Bode   1, 2 , MS ;   Rena Xu   2, 3 , MBA, MD ;   Matthew Garber   2 , BS ;   Kenneth D Mandl   2 , MPH, MD ;   Andrew J Mcmurry   2, 4 , PhD

1 Peter L. Reichertz Institute for Medical Informatics, TU Braunschweig and Hannover Medical School, Hannover, Germany

2 Computational Health Informatics Program, Boston Children's Hospital, Boston, MA, United States

3 Department of Surgery, Harvard University, Boston, MA, United States

4 Department of Pediatrics, Harvard Medical School, Boston, CA, United States

Corresponding Author: