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

Engagement with and Adherence to Digital Health Interventions, Law of Attrition (459) Digital Biomarkers and Digital Phenotyping (178) Mobile Health in Psychiatry (401) mHealth for Wellness, Behavior Change and Prevention (2743) e-Mental Health and Cyberpsychology (1402)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39258, first published .
Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

Digital Phenotyping Data to Predict Symptom Improvement and Mental Health App Personalization in College Students: Prospective Validation of a Predictive Model

Authors of this article:

Danielle Currey1, 2 Author Orcid Image ;   John Torous1 Author Orcid Image
Article Authors Cited by (5) Tweetations (13) Metrics

Danielle Currey   1, 2 , BS ;   John Torous   1 , MD

1 Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States

2 Case Western Reserve University School of Medicine, Cleveland, OH, United States

Corresponding Author:

  • John Torous, MD
  • Department of Psychiatry
  • Beth Israel Deaconess Medical Center
  • Harvard Medical School
  • 330 Brookline Ave
  • Boston, MA, 02446
  • United States
  • Phone: 1 6176676700
  • Email: jtorous@gmail.com