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Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study

Nov. 10, 2017

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Howe, E., Ghandeharioun, A., Pedrelli, P., Mischoulon, D., Picard, R., Fedor, S. "Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study," Association for Behavioral and Cognitive Therapies Annual Convention – Tech SIG, San Diego, CA, November 2017.

Abstract

Major depressive disorder (MDD) is a serious and prevalent disease with a variable course. Ubiquitous smartphone technology has the potential to inform and improve clinical care by monitoring patients’ symptoms and behavioral patterns.The extent to which the changes in depressive symptoms can be predicted with cell phone data remains unknown. 

17.howe_etal_location_ABCT.pdf
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