Early Prediction of Sepsis from Clinical Data: The PhysioNet/Computing in Cardiology Challenge 2019

Abstract

The PhysioNet/Computing in Cardiology Challenge focused on the early detection of sepsis from clinical data. A total of 40,336 patient records from two distinct hospital systems were shared with participants while 22,761 patient records from three distinct hospital systems were sequestered as hidden test sets. Each patient record contained up to 40 measurements of vital sign, laboratory, and demographics data for over 2.5 million hourly time windows and over 15 million data points. We used the Sepsis-3 clinical criteria to define the onset time of sepsis.