Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders

2017134 citationsJournal Articlegold Open Access

Authors

Skyler Place · Cogito (United States)

Danielle Blanch‐Hartigan · Bentley University

Channah Rubin · Cogito (United States)

Cristina Gorrostieta · Cogito (United States)

Caroline Mead · Cogito (United States)

John Kane · Cogito (United States)

Brian P. Marx ·

Abstract

Behavioral indicators passively collected through a mobile sensing platform predicted symptoms of depression and PTSD. The use of mobile sensing platforms can provide clinically validated behavioral indicators in real time; however, further validation of these models and this platform in large clinical samples is needed.

Topics & Keywords

Digital Mental Health Interventions Mental Health Research Topics Impact of Technology on Adolescents

Publication Details

Published in: Journal of Medical Internet Research

Volume 19, Issue 3, pp. e75-e75

DOI: 10.2196/jmir.6678

Field-Weighted Citation Impact: 11.15

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Behavioral Indicators on a Mobile Sensing Platform Predict Clinically Validated Psychiatric Symptoms of Mood and Anxiety Disorders

Authors

Abstract

Topics & Keywords

Publication Details