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

Depression and Mood Disorders; Suicide Prevention (1273) Human Factors and Usability Case Studies (739) mHealth for Wellness, Behavior Change and Prevention (2729) Mental Health Issues in Adolescence (380)

Published on in Vol 7, No 1 (2020): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14045, first published .
Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Tracking and Predicting Depressive Symptoms of Adolescents Using Smartphone-Based Self-Reports, Parental Evaluations, and Passive Phone Sensor Data: Development and Usability Study

Authors of this article:

Jian Cao1 Author Orcid Image ;   Anh Lan Truong2 Author Orcid Image ;   Sophia Banu2 Author Orcid Image ;   Asim A Shah2 Author Orcid Image ;   Ashutosh Sabharwal1 Author Orcid Image ;   Nidal Moukaddam2 Author Orcid Image
Article Authors Cited by (29) Tweetations (4) Metrics

Jian Cao   1 , PhD ;   Anh Lan Truong   2 , MD ;   Sophia Banu   2 , MD ;   Asim A Shah   2 , MD ;   Ashutosh Sabharwal   1 , PhD ;   Nidal Moukaddam   2 , MD, PhD

1 Electrical and Computer Engineering Department, Rice University, Houston, TX, United States

2 Menninger Department of Psychiatry, Baylor College of Medicine, Houston, TX, United States

Corresponding Author:

  • Nidal Moukaddam, MD, PhD
  • Menninger Department of Psychiatry
  • Baylor College of Medicine
  • 1504 Taub Loop, NPC bldg
  • Houston, TX, 77030
  • United States
  • Phone: 1 7138735270
  • Fax: 1 7138734938
  • Email: nidalm@bcm.edu