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

Diagnostic Tools in Mental Health (242) Mobile Health (mhealth) (2941) Ecological Momentary Assessment (EMA) (311) Text-messaging (SMS, WeChat etc)-Based Interventions (650) Depression and Mood Disorders; Suicide Prevention (1363) Methods and New Tools in Mental Health Research (454)

Published on in Vol 7, No 5 (2020): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16237, first published .
An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

An Automated Mobile Mood Tracking Technology (Mood 24/7): Validation Study

Authors of this article:

Anupama Kumar1 Author Orcid Image ;   Michael Wang1 Author Orcid Image ;   Alison Riehm1 Author Orcid Image ;   Eileen Yu1 Author Orcid Image ;   Ted Smith2 Author Orcid Image ;   Adam Kaplin1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Anupama Kumar   1 , MBBS ;   Michael Wang   1 , BSc ;   Alison Riehm   1 , MD ;   Eileen Yu   1 , BA ;   Ted Smith   2 , PhD ;   Adam Kaplin   1 , MD, PhD

1 Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, United States

2 Department of Pharmacology and Toxicology, University of Louisville, Louisville, KY, United States

Corresponding Author:

  • Adam Kaplin, MD, PhD
  • Department of Psychiatry and Behavioral Sciences
  • Johns Hopkins University
  • Room 121
  • 600 N Wolfe street, Meyer building
  • Baltimore, MD, 21287-0005
  • United States
  • Phone: 1 4106143307
  • Email: akaplin@jhmi.edu