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

RCTs - Protocols/Proposals (eHealth) (443) Adoption and Change Management of eHealth Systems (537) mHealth for Wellness, Behavior Change and Prevention (2457) Anxiety and Stress Disorders (882) Depression and Mood Disorders; Suicide Prevention (1138)

Published on in Vol 11 , No 11 (2022) :November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37954, first published .
Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study

Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study

Digital Phenotyping Data to Predict Symptom Improvement and App Personalization: Protocol for a Prospective Study

Authors of this article:

Danielle Currey 1 Author Orcid Image ;   John Torous 1 Author Orcid Image
Article Authors Cited by (2) Tweetations (12) Metrics

Danielle Currey   1 , BS ;   John Torous   1 , MD

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

Corresponding Author:

  • John Torous, MD
  • School of Medicine
  • Case Western Reserve University
  • 10900 Euclid Ave
  • Cleveland, OH, 44106
  • United States
  • Phone: 1 6176676700
  • Email: jtorous@gmail.com