Skip to main content

Table 2 Performance metrics of the gradient-boosted decision trees models with 33 and five features (33F and Top5F, respectively), the Emergency Heart Failure Mortality Risk Grade (EHMRG) model, a single decision tree (DT) with the same five features as Top5F, and a logistic regression (LR) model for the prediction of seven-day mortality

From: Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data

  33F Top5F EHMRG DT LR
AUROC 0.843 0.830 0.776 0.589 0.685
Sensitivity 0.895 0.895 0.684 0.211 0.579
Specificity 0.749 0.618 0.642 0.967 0.722
LR+ 3.558 2.344 1.911 6.469 2.082
LR- 0.141 0.170 0.492 0.816 0.583
DOR 25.300 13.771 3.886 7.927 3.569