Published on in Vol 20, No 7 (2018): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9775, first published .
Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

Predicting Mood Disturbance Severity with Mobile Phone Keystroke Metadata: A BiAffect Digital Phenotyping Study

John Zulueta   1 , MD ;   Andrea Piscitello   1 , MS ;   Mladen Rasic   1 , BA ;   Rebecca Easter   1 , BA ;   Pallavi Babu   2 , BA ;   Scott A Langenecker   1 , PhD ;   Melvin McInnis   2 , MD ;   Olusola Ajilore   1 , MD, PhD ;   Peter C Nelson   1 , PhD ;   Kelly Ryan   2 , PhD ;   Alex Leow   1 , MD, PhD

1 University of Illinois at Chicago, Chicago, IL, United States

2 University of Michigan, Ann Arbor, MI, United States

Corresponding Author:

  • Alex Leow, MD, PhD
  • University of Illinois at Chicago
  • 1601 W Taylor St
  • Chicago, IL, 60612
  • United States
  • Phone: 1 312-996-7383
  • Fax: 1 312-996-9517
  • Email: aleow@psych.uic.edu