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

New Methods (1196) mHealth in a Clinical Setting (792) Depression and Mood Disorders; Suicide Prevention (1790) Diagnostic Tools in Mental Health (345) Machine Learning (2285)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/82669, first published .
Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study

Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study

Combining Machine Learning Models and Screening to Enhance Suicide Risk Identification for American Indian Patients: Retrospective Cohort Study

Authors of this article:

Novalene Alsenay Goklish1 Author Orcid Image ;   Emily E Haroz1 Author Orcid Image ;   Rohan R Dayal1 Author Orcid Image ;   Valentín Q Sierra1 Author Orcid Image ;   Roy Adams2 Author Orcid Image ;   Francene Larzelere Sinquah1 Author Orcid Image ;   Paul Rebman3 Author Orcid Image ;   Jacob L Taylor2 Author Orcid Image
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Novalene Alsenay Goklish   1 * , PhD ;   Emily E Haroz   1 * , PhD ;   Rohan R Dayal   1 , MPH ;   Valentín Q Sierra   1 , PhD ;   Roy Adams   2 , PhD ;   Francene Larzelere Sinquah   1 , PhD ;   Paul Rebman   3 , MPH ;   Jacob L Taylor   2 , MD, MPH

1 Department of International Health, Center for Indigenous Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

2 Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, United States

3 Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States

*these authors contributed equally

Corresponding Author:

  • Emily E Haroz, PhD
  • Department of International Health, Center for Indigenous Health
  • Johns Hopkins Bloomberg School of Public Health
  • 415 N. Washington St
  • Baltimore, MD 21205
  • United States
  • Phone: 1 410-955-0011
  • Email: eharoz1@jh.edu