Mortality prediction on PhysioNet 2012 (test)
86.7AUCGSNF
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| GSNFvariant=δlb2026.05 | 86.7 | — | 56.9 | 9 | 6,349 | |
| Hi-Patch2026.05 | 86.4 | — | 56.5 | 24 | 6,577 | |
| GRU-DClass imbalance method=oversampling, citation=[12]2021.06 | 86.3 | — | 53.7 | — | — | |
| DualDynamics2026.05 | 86.1 | — | 55.3 | 37 | 6,743 | |
| GRU-APCClass imbalance method=none, n=12021.06 | 86 | — | 54.1 | — | — | |
| GRU-APCClass imbalance method=class weights, n=12021.06 | 85.9 | — | 53.5 | — | — | |
| mTAN2026.05 | 85.8 | — | 50.4 | 12 | 1,857 | |
| Statistical Feature ExtractionClassifier=XGBoost2026.02 | 85.7 | — | 52.3 | — | — | |
| GRU-SimpleClass imbalance method=class weights2021.06 | 85.5 | — | 53.8 | — | — | |
| GRU-DClass imbalance method=class weights2021.06 | 85.5 | — | 53.1 | — | — | |
| GRUClass imbalance method=class weights2021.06 | 85.4 | — | 51.4 | — | — | |
| GRU-D-APCClass imbalance method=class weights, n=12021.06 | 85.3 | — | 55.1 | — | — | |
| FlowPath2026.05 | 85.3 | — | 55.3 | 17 | 7,356 | |
| GRU-D-APCClass imbalance method=none, n=12021.06 | 85.2 | — | 54.1 | — | — | |
| ViTST2026.02 | 85.1 | — | 51.1 | — | — | |
| BRITSClass imbalance method=none, citation=[4]2021.06 | 85 | — | — | — | — | |
| GRU-D-APCClass imbalance method=class weights, n=02021.06 | 85 | — | 53.3 | — | — | |
| GRU-MeanClass imbalance method=class weights2021.06 | 84.6 | — | 50.3 | — | — | |
| GraphNeuralFlow2026.05 | 84.5 | — | 53.7 | 35 | 6,056 | |
| TimeCHEAT2026.05 | 84.5 | — | 46.3 | 35 | 6,859 | |
| DGM^2-O2026.02 | 84.4 | — | 47.3 | — | — | |
| GRU-ForwardClass imbalance method=class weights2021.06 | 84.3 | — | 52 | — | — | |
| Statistical Feature ExtractionClassifier=LR2026.02 | 84.3 | — | 50 | — | — | |
| GRU-DClass imbalance method=oversampling, citation=[6]2021.06 | 84.24 | — | — | — | — | |
| GRU-APCClass imbalance method=class weights, n=02021.06 | 84.2 | — | 50.4 | — | — | |
| mTAND2026.02 | 84.2 | — | 48.2 | — | — | |
| Statistical Feature ExtractionClassifier=RF2026.02 | 83.6 | — | 49 | — | — | |
| GRU-DClass imbalance method=none, citation=[4]2021.06 | 83.4 | — | — | — | — | |
| Warpformer2026.05 | 83.4 | — | 43.5 | 40 | 4,532 | |
| Transformer2026.02 | 83.3 | — | 47.9 | — | — | |
| Raindrop2026.02 | 82.8 | — | 44 | — | — | |
| Trans-mean2026.02 | 82.6 | — | 46.3 | — | — | |
| IP-Net2026.02 | 82.6 | — | 47.6 | — | — | |
| Statistical Feature ExtractionClassifier=SVM2026.02 | 82.4 | — | 46.9 | — | — | |
| GRU-D2026.02 | 81.9 | — | 46.1 | — | — | |
| ViTST2026.05 | 81.3 | — | 37.4 | 59 | 8,982 | |
| RainDrop2026.05 | 81.2 | — | 37.3 | 28 | 3,200 | |
| IVP-VAE2026.05 | 81.1 | — | 46.2 | 3 | 5,363 | |
| NeuralFlow2026.05 | 80.9 | — | 51.5 | 30 | 4,999 | |
| ODE-RNN2026.05 | 80.8 | — | 33.7 | 45 | 3,407 | |
| GRU-D2026.05 | 79.1 | — | 42.7 | 25 | 2,456 | |
| MTGNN2026.02 | 74.4 | — | 35.5 | — | — | |
| SeFT2026.02 | 73.9 | — | 31.1 | — | — |