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

Depression and Mood Disorders; Suicide Prevention (1691) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (2114) Mental Health Surveillance and Epidemiology (95) Mental Health Issues in Adolescence (637) Diagnostic Tools in Mental Health (326) Anxiety and Stress Disorders (1330)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/66665, first published .
Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation

Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation

Identifying Adolescent Depression and Anxiety Through Real-World Data and Social Determinants of Health: Machine Learning Model Development and Validation

Authors of this article:

Mamoun T Mardini1 Author Orcid Image ;   Georges E Khalil1 Author Orcid Image ;   Chen Bai1 Author Orcid Image ;   Aparna Menon DivaKaran1 Author Orcid Image ;   Jessica M Ray1 Author Orcid Image
Article Authors Cited by (6) Tweetations Metrics

Mamoun T Mardini   1 , MS, PhD ;   Georges E Khalil   1 , MS, PhD ;   Chen Bai   1 , MS ;   Aparna Menon DivaKaran   1 , MS ;   Jessica M Ray   1 , MS, PhD

1 Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL, United States

Corresponding Author:

  • Mamoun T Mardini, MS, PhD
  • Department of Health Outcomes and Biomedical Informatics
  • College of Medicine
  • University of Florida
  • 7th Floor, Suite 7000, 1889 Museum Rd
  • Gainesville, FL 32611
  • United States
  • Phone: 1 7049045847
  • Email: mamounmardini@gmail.com