Toward a Mobile Platform for Real-world Digital Measurement of Depression: User-Centered Design, Data Quality, and Behavioral and Clinical Modeling
JMIR Mental Health2021Vol. 8(8), pp. e27589–e27589
Citations Over TimeTop 10% of 2021 papers
Stefanie Nickels, Matthew D. Edwards, Sarah Poole, Dale Winter, Jessica Gronsbell, Bella Rozenkrants, David P Miller, Mathias S. Fleck, Alan A. McLean, B. Peterson, Yuanwei Chen, Alan Hwang, David Rust-Smith, Arthur Brant, Andrew T. Campbell, Chen Chen, Collin Walter, Patricia A. Areán, Honor Hsin, Lance Myers, William J. Marks, Jessica L. Mega, Danielle Schlosser, Andrew Conrad, Robert M. Califf, Menachem Fromer
Abstract
This study finds a strong proof of concept for the use of a smartphone-based assessment of depression outcomes. Behavioral features derived from passive sensors and active tasks show promising correlations with a validated clinical measure of depression (PHQ-9). Future work is needed to increase scale that may permit the construction of more complex (eg, nonlinear) predictive models and better handle data missingness.
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