In-hospital mortality prediction (MORT) on MIMIC-III
0.0845Mutual Information (MI)MLCI
Evaluation Results
| Method | Links | |
|---|---|---|
| MLCI2026.06 | 0.0845 | |
| Set TransformerMode=single-logit2026.06 | 0.0752 | |
| DeepSetsPooling=mean ⊕ max pool2026.06 | 0.0737 | |
| Pure MIL Attention Pooling2026.06 | 0.0717 | |
| Star-GAT2026.06 | 0.0703 | |
| kNN2026.06 | 0.0683 | |
| Deep MLP Bag-of-CodesImplementation=EmbeddingBag2026.06 | 0.0662 | |
| Deep and Cross NetworkAcronym=DCN2026.06 | 0.0655 | |
| Gradient Boosted TreesEvaluation=Score/Logit2026.06 | 0.0652 | |
| Factorization MachineMetric=FM score2026.06 | 0.063 | |
| Complement Naive Bayes2026.06 | 0.0578 | |
| Multinomial Naive Bayes2026.06 | 0.0573 | |
| FusedLogits LR2026.06 | 0.0569 | |
| CCI+ECIMode=scalar2026.06 | 0.031 | |
| ElixhauserAcronym=ECI2026.06 | 0.0265 | |
| CharlsonAcronym=CCI2026.06 | 0.0164 |