Prognosis prediction on Multi-center clinical dataset
81.06AUCVDAFM
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| VDAFMCategory=Proposed Method2026.05 | 81.06 | 81.16 | 69.26 | 67.39 | 71.39 | 87.5 | |
| SparsemmCategory=Multi-modal Strategies2026.05 | 79.94 | 78.72 | 66.22 | 66.85 | 65.71 | 83.75 | |
| AttentionCategory=Multi-modal Strategies2026.05 | 79.86 | 74.32 | 62.41 | 66.85 | 60.31 | 77.75 | |
| FusionCategory=Multi-modal Strategies2026.05 | 79.39 | 78.08 | 67.09 | 70.11 | 64.7 | 81.75 | |
| EarthmindCategory=Multi-modal Strategies2026.05 | 79.34 | 77.74 | 65.25 | 66.3 | 64.37 | 83 | |
| ConcatCategory=Multi-modal Strategies2026.05 | 78.46 | 77.4 | 64.89 | 66.3 | 63.92 | 82.5 | |
| ImagenetCategory=Deep Learning Methods2026.05 | 73.08 | 73.8 | 50.12 | 42.39 | 63.72 | 88.25 | |
| TableNetCategory=Deep Learning Methods2026.05 | 72.03 | 74.83 | 52.02 | 43.09 | 65.71 | 89.6 | |
| Random Forest (RF)Category=Traditional Methods2026.05 | 71.46 | 73.14 | 53.8 | 48.94 | 59.96 | 84.41 | |
| MLPCategory=Deep Learning Methods2026.05 | 71.08 | 73.99 | 45.56 | 34.57 | 67.79 | 92.33 | |
| XGBoostCategory=Traditional Methods2026.05 | 71.07 | 73.48 | 42.82 | 31.38 | 68.15 | 93.07 | |
| SVMCategory=Traditional Methods2026.05 | 70.28 | 70.61 | 52.34 | 51.06 | 53.74 | 79.7 |