Table 3 Performance of risk models for complications
Prediction | # Cases (prevalence) | Model | AUROC (95% CI) | AUPRC (95% CI) | F1 Value (95% CI) |
|---|---|---|---|---|---|
Any complication | 4,351 (37.92%) | XGBoost | 0.755 (0.744, 0.767) | 0.651 (0.632, 0.669) | 0.621 (0.602, 0.639) |
Logistic regression | 0.747 (0.735, 0.760) | 0.646 (0.628, 0.665) | 0.629 (0.615, 0.644) | ||
Heart failure | 116 (1.01%) | XGBoost | 0.835 (0.773, 0.887) | 0.101 (0.055, 0.181) | 0.141 (0.097, 0.190) |
Logistic regression | 0.878 (0.834, 0.915) | 0.101 (0.058, 0.184) | 0.087 (0.071, 0.104) | ||
Delirium | 303 (2.64%) | XGBoost | 0.827 (0.793, 0.857) | 0.139 (0.099, 0.187) | 0.189 (0.153, 0.225) |
Logistic regression | 0.873 (0.851, 0.896) | 0.181 (0.134, 0.233) | 0.169 (0.150, 0.187) | ||
Arrhythmia | 341 (2.97%) | XGBoost | 0.794 (0.764, 0.822) | 0.122 (0.092, 0.165) | 0.148 (0.129, 0.169) |
Logistic regression | 0.831 (0.800, 0.859) | 0.156 (0.121, 0.204) | 0.155 (0.138, 0.171) | ||
Kidney failure | 505 (4.40%) | XGBoost | 0.869 (0.846, 0.891) | 0.336 (0.282, 0.390) | 0.326 (0.293, 0.359) |
Logistic regression | 0.883 (0.863, 0.901) | 0.308 (0.258, 0.363) | 0.285 (0.262, 0.309) |