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

John Zulueta Andrea Piscitello Mladen Rasic Rebecca E Easter Pallavi Babu Scott A Langenecker Melvin G McInnis Olusola A Ajilore Peter C Nelson Kelly Ann Ryan Alex Leow

Published in: Journal of medical Internet research (2018)

Mood states in bipolar disorder appear to correlate with specific changes in mobile phone usage. The creation of these models provides evidence for the feasibility of using passively collected keyboard metadata to detect and monitor mood disturbances.

Keyphrases

bipolar disorder
major depressive disorder
high throughput
sleep quality
single cell