A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction

1 code implementation • 9 Feb 2020 • Han B. Kim, Hieu Nguyen, Qingchu Jin, Sharmila Tamby, Tatiana Gelaf Romer, Eric Sung, Ran Liu, Joseph Greenstein, Jose I. Suarez, Christian Storm, Raimond Winslow, Robert D. Stevens

Combined EHR-PTS24 models had higher discrimination (area under the receiver operating characteristic curve [AUC]) than models which used either EHR or PTS24 alone, for the prediction of survival (AUC 0. 85, 0. 80 and 0. 68 respectively) and neurological outcome (0. 87, 0. 83 and 0. 78).

Time Series Analysis