Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Abstract Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs. Here we present a novel unsupervisedContinue reading… Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records