Mortality Prediction on PhysioNet 2019 (test)
90AUROCStatistical Feature Extraction
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| Statistical Feature ExtractionClassifier=XGBoost2026.02 | 90 | 54.8 | |
| ViTST2026.02 | 89.2 | 53.1 | |
| Statistical Feature ExtractionClassifier=RF2026.02 | 88.2 | 49.5 | |
| Raindrop2026.02 | 87 | 51.8 | |
| DGM^2-O2026.02 | 86.7 | 44.7 | |
| Statistical Feature ExtractionClassifier=SVM2026.02 | 85.9 | 43.6 | |
| IP-Net2026.02 | 84.6 | 38.1 | |
| mTAND2026.02 | 84.4 | 50.6 | |
| GRU-D2026.02 | 83.9 | 46.9 | |
| Trans-mean2026.02 | 83.7 | 45.8 | |
| MTGNN2026.02 | 81.9 | 39.9 | |
| SeFT2026.02 | 81.2 | 41.9 | |
| Transformer2026.02 | 80.7 | 42.7 | |
| Statistical Feature ExtractionClassifier=LR2026.02 | 79.5 | 28 |