EHR Prediction on MIMIC-IV
78.3AUROCReMed
Evaluation results
| Method | Links | |
|---|---|---|
| ReMedTrain mode=Multi, Tokenization Strategy=LLM Align2026.03 | 78.3 | |
| YAIB*Train mode=Single, Tokenization Strategy=Code-base2026.03 | 78.2 | |
| ReMedTrain mode=Multi, Tokenization Strategy=EnTok2026.03 | 78 | |
| ReMedTrain mode=Multi, Tokenization Strategy=MLTok2026.03 | 78 | |
| GenHPFTrain mode=Multi, Tokenization Strategy=LLM Align2026.03 | 77.9 | |
| ReMedTrain mode=Single, Tokenization Strategy=EnTok2026.03 | 77.7 | |
| ReMedTrain mode=Single, Tokenization Strategy=LLM Align2026.03 | 77.7 | |
| Rajikomar*Train mode=Single, Tokenization Strategy=Code-base2026.03 | 77.5 | |
| ReMedTrain mode=Single, Tokenization Strategy=MLTok2026.03 | 77.4 | |
| GenHPFTrain mode=Multi, Tokenization Strategy=EnTok2026.03 | 77.1 | |
| YAIB*Train mode=Multi, Tokenization Strategy=Code-base2026.03 | 77 | |
| GenHPFTrain mode=Multi, Tokenization Strategy=MLTok2026.03 | 77 | |
| Rajikomar*Train mode=Multi, Tokenization Strategy=Code-base2026.03 | 76.8 | |
| GenHPFTrain mode=Single, Tokenization Strategy=EnTok2026.03 | 76.7 | |
| GenHPFTrain mode=Single, Tokenization Strategy=MLTok2026.03 | 76.7 | |
| GenHPFTrain mode=Single, Tokenization Strategy=LLM Align2026.03 | 76.7 |