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There are rising rates of depression on college campuses. Hear from Andrew Campbell, Computer Science, about Dartmouth undergrad study. Sponsored by Geisel/CTBH.
Speaker: Andrew T. Campbell, Computer Science Professor at Dartmouth
Summary: : There are rising rates of depression on college campuses. In response researchers have proposed using mobile sensing for continuous mental health assessment. We present results from a study of undergraduate students at Dartmouth College across two terms. We identify a number of important new associations between mobile sensing data and self reported depression scores. The study captures depression dynamics of the students at the beginning and end of term using a pre-post PHQ-8 and week by week changes using a weekly administered PHQ-4. We show that features derived from phone and wearable sensors can predict whether or not a student is depressed on a week by week basis with good performance.
About the Presenter: Andrew T. Campbell (https://www.cs.dartmouth.edu/~campbell/) is a professor of computer science at Dartmouth College. His research focuses on the development of computational methods for smartphones and wearables with the goal of understanding human behavior in the wild. He is particularly interested in mental health sensing and prediction using mobile phones. Before joining Dartmouth, he was a tenured associate professor of electrical engineering at Columbia University. Prior to that, he spent ten years in the software industry leading the development of computer networks. He has been a visiting professor at CMU Rwanda, University of Salamanca and Cambridge University. During 2016-2017, he joined Google to work on cardiovascular health as a member of the Android group. Currently, he is a visiting research scientist at Verily (formerly Google Life Sciences) working on mental health. His work has been covered widely by the popular press (New York Times, Financial Times, Economist), TV (BBC, CBS) and radio (NPR).
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