Early detection of sepsis utilizing deep learning on electronic health record event sequences

Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard +4

The timeliness of detection of a sepsis event in progress is a crucial factor in the outcome for the patient. Machine learning models built from data in electronic health records c…