Development and Experience with Cancer Risk Prediction Models Using Federated Databases and Electronic Health Records

Abstract

Early diagnosis is critical to improving survival rates of lethal cancers, such as pancreatic duct adenocarcinoma (PDAC). However, there are no reliable screening test for these cancers. In this chapter, we present potential methods for predicting early, evolving cancers by leveraging readily available electronic health record (EHR) data and machine learning. We discuss the various aspects of our collaborative experience, involving clinical and computer scientists, in navigating the process of using EHRs to develop cancer risk prediction models. This chapter is intended to serve as a guide to others preforming this type of research.