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CIS Seminar: “User Generated Content: Opportunities to Inform Healthcare”

February 13, 2020 at 3:00 PM - 4:00 PM


When individuals post to social media or use wearable devices, data generated through these everyday interactions with technology reveal a great deal about behaviors that influence health in ways that were previously not observable. In my work, I seek to leverage this data to characterize and measure the naturalistic manifestations a.k.a digital phenotyping of mental and physical health.

In this talk, we will look at a) uncovering linguistic markers of ADHD using self-declared statuses on Twitter, b) scaling language-based user-level questionnaire-estimated psychological stress predictions to communities, and c) forecasting healthcare utilization as documented in the medical records of a sample of patients using their Facebook posts. Across these studies, I argue that user generated data is a source of collateral information that can augment clinical practice and potentially guide interventions.

Sharath C. Guntuku

Research Scientist at the Centre for Digital Health in the University of Pennsylvania.

Sharath C. Guntuku is a research scientist at the Centre for Digital Health in the University of Pennsylvania. His research aims to develop technology frameworks that advance the measurement and understanding of human behaviors that influence health and well-being with user-generated data. He obtained his PhD in Computer Science from the Nanyang Technological University, Singapore and his undergraduate degree from BITS-Pilani, India.


February 13, 2020
3:00 PM - 4:00 PM
Event Tags:


Computer and Information Science
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Wu and Chen Auditorium (Room 101), Levine Hall
3330 Walnut Street
Philadelphia, PA 19104 United States
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