Developing an Analytics Software Tool to Identify Patients Diagnosed with Heart Failure and at High Risk of 30-day Hospital Readmissions based on Physiologic and Clinical Data Obtained from Electronic Health Records

Nauder Faraday1, Alexis Battle2, Kasper Hansen3, Ali Afshar 4, 1Dept. of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University, 2Dept. of Biomedical Engineering, Whiting School of Engineering, Johns Hopkins University, 3Dept. of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 4 Dept. of Anesthesiology and Critical Care Medicine, School of Medicine, Johns Hopkins University