november, 2019

2019thu07nov3:00 pm4:00 pmModeling Mood and Emotional Patterns from Speech in Bipolar Disorder3:00 pm - 4:00 pm ET Event Type:OnlineSMI Adviser Event:YesAccredited Education Activity:Yes

Event Details

The hallmark clinical feature of bipolar disorder is pathological variability in mood and emotions. Primary manifestations of these clinical features are mediated through speech and behavioral patterns. This webinar describes research that analyzes passive speech collected daily through smartphones in individuals with bipolar disorder for up to one year. Patterns of mood, emotions, and acoustics are associated with outcomes and course of illness. The data consists of over 50,000 tel calls in 60 participants and demonstrates the utility of passive speech monitoring over extended periods of time in bipolar disorder.

Presenter: Melvin McInnis, MD, University of Michigan

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(Thursday) 3:00 pm - 4:00 pm

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