Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57602, first published .
Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study

Exploring the Perspectives of Pediatric Health Care Providers, Youth Patients, and Caregivers on Machine Learning Suicide Risk Classification: Mixed Methods Study

Rohan R Dayal   1 , MPH ;   Pua Lani Yang   1 , MSPH ;   Laura Nicole Sisson   2 , MPH, MSSW, PhD ;   Mira Bajaj   3 , MD ;   Shannon Archuleta   1 , MPH ;   Sophie Yao   4 , BS ;   Daniel H Park   4 , BA ;   Hanae Fujii-Rios   5 , MPH, MD ;   Emily E Haroz   6 , MA, MHS, PhD

1 Department of International Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

2 Department of Health, Behavior and Society, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

3 Harvard Medical School, Mass General Brigham McLean, Boston, MA, United States

4 Johns Hopkins University, Baltimore, MD, United States

5 Department of Pediatrics, School of Medicine, Johns Hopkins University, Baltimore, MD, United States

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

Corresponding Author:

  • Rohan R Dayal, MPH
  • Department of International Health
  • Bloomberg School of Public Health, Johns Hopkins University
  • 615 N Wolfe St
  • Baltimore, MD 21205
  • United States
  • Phone: 1 9172837220
  • Email: rdayal2@jh.edu