Case Study Industry: Clinicians and administrators at the University of Pittsburgh Medical Center (UPMC) wanted to market a specific program, living donor liver transplant (LDLT) services, to those who might benefit from them. The challenge was that there is a very narrow group of individuals who might qualify for the program - and how to identify them while complying with HIPAA guidelines. UPMC maintains a robust national consumer database with over 1,500 variables on each individual, but how could they go about identifying the individuals and the predictive variables associated with liver disease in a quick, cost-efficient, and repeatable manner. Background: If the team were to build a predictive model themselves, it would take expensive monetary resources and six months to do the requi

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