Risk Prediction with Electronic Health Record Data and Beyond

Blockley Hall, 701 (sessions 1,2,4,5) & Anatomy-Chem 202 (session 3)

423 Guardian Drive, 19104, Philadelphia, PA, United States

Jinbo Chen, PhD, Division of Biostatistics, DBEI

0 位关注者

Dr. Jinbo Chen is a Professor of Biostatistics and Director of the Penn Statistical Center for Translational Research in Medicine in the Department of Biostatistics, Epidemiology & Informatics at the University of Pennsylvania Perelman School of Medicine. Her research focuses on statistical methods for risk modeling, innovative analysis of electronic health record (EHR) data to improve healthcare, and designing efficient sampling schemes under resource constraints. Dr. Chen’s recent work has concentrated on practically important analytical challenges in risk modeling using EHR data, including robust methods for addressing EHR phenotyping inaccuracy, assessing and improving the fairness of predictive algorithms, enhancing risk modeling through data integration, and inferring variable importance. Her methodologies have been applied to advance research across a wide range of scientific fields, including breast cancer risk prediction, health services research, and cardiovascular health research.