In this course you will be introduced to basic concepts in predictive analytics, also called predictive modeling, with applications to healthcare. You will cover two core paradigms that account for most business applications of predictive modeling: classification, and prediction of numerical quantities. You will review case studies in healthcare applications, and work on practical exercises to predict individuals’ consumption of healthcare services.
Dr. Margrét Vilborg Bjarnadóttir
Dr. Margrét Vilborg Bjarnadóttir, Associate Professor of Management Science and Statistics at the University of Maryland and Founder and Chairwoman of PayAnalytics, specializes in operations research methods using large scale data; her research centers around data driven decision making, combining optimization modeling with data analytics. In health-care Dr. Bjarnadóttir specializes in decision modeling using EMR and claims data. Her recent papers include: “Aiding the Prescriber” which focuses on risk modeling for improved opioid prescriptions and “Predicting Colorectal Cancer Mortality” which utilizes EMR and Cancer Registry data to ...