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Predictive performance of machine learning algorithms
| Algorithms | Mortality | ICU | ||||
|---|---|---|---|---|---|---|
| AUC (SD) | Sensitivity | Specificity | AUC (SD) | Sensitivity | Specificity | |
| Random Forests | 89.0% (1.3%) | 76.4% | 89.5% | 78.1% (3.1%) | 73.4% | 79.6% |
| Xgboost | 88.4% (1.9%) | 30.3% | 96.8% | 78.9% (2.9%) | 54.2% | 86.0% |
| Kernel SVM | 87.8% (4.3%) | 20.8% | 99.5% | 76.1% (2.2%) | 43.3% | 92.3% |
| Neural network | 84.4% (2.6%) | 36.8% | 90.3% | 71.8% (4.4%) | 56.7% | 77.8% |
| Logistic | 81.7% | 26.2% | 90.1% | 66.9% | 55.3% | 78.5% |
