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NIH OBSSR Methodology Seminar: Predictive Modeling for Behavioral and Social Sciences Health Research

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Chapter Description Position
1 Thumbnail image Introduction - William T. Riley, Ph.D., OBSSR, NIH 0:00:04
2 Thumbnail image Welcome - Elizabeth Ginexi, Ph.D., OBSSR, NIH 0:02:06
3 Thumbnail image Prediction and explanation in social systems - Jake Hofman, Ph.D., Microsoft Research 0:08:09
4 Thumbnail image The Fragile Families Challenge - Matthew Salganik, Ph.D., Princeton University 1:27:49
5 Thumbnail image Prediction as a tool for prevention - Emily Putnam-Hornstein, Ph.D., University of Southern California 2:44:49
6 Thumbnail image Understanding and improving physician decision making using machine learning - Ziad Obermeyer, M.D., University of California Berkeley 3:58:38
Air date: Friday, October 12, 2018, 8:00:00 AM
Time displayed is Eastern Time, Washington DC Local
Views: Total views: 183
Category: Conferences
Runtime: 05:11:27
Description: This one-day seminar will feature an introduction to principles and techniques from the field of machine learning and offer ideas on how these approaches may be relevant for research involving behavioral and social determinants of health. Following an overview, this seminar will feature specific case examples from scientists who are currently applying innovative machine learning approaches to study behavioral and social aspects of health.
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Author: Office of Behavioral and Social Sciences Research, NIH
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CIT Live ID: 27987
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