EHR Prediction on HiRiD
0.813AUROCYAIB*
Evaluation results
| Method | Links | |
|---|---|---|
| YAIB*Train mode=Single, Tokenization Strategy=Code-base2026.03 | 0.813 | |
| GenHPFTrain mode=Multi, Tokenization Strategy=LLM Align2026.03 | 0.813 | |
| ReMedTrain mode=Multi, Tokenization Strategy=LLM Align2026.03 | 0.813 | |
| GenHPFTrain mode=Multi, Tokenization Strategy=EnTok2026.03 | 0.811 | |
| ReMedTrain mode=Multi, Tokenization Strategy=EnTok2026.03 | 0.811 | |
| ReMedTrain mode=Multi, Tokenization Strategy=MLTok2026.03 | 0.81 | |
| YAIB*Train mode=Multi, Tokenization Strategy=Code-base2026.03 | 0.808 | |
| GenHPFTrain mode=Single, Tokenization Strategy=LLM Align2026.03 | 0.808 | |
| GenHPFTrain mode=Multi, Tokenization Strategy=MLTok2026.03 | 0.807 | |
| ReMedTrain mode=Single, Tokenization Strategy=EnTok2026.03 | 0.807 | |
| GenHPFTrain mode=Single, Tokenization Strategy=EnTok2026.03 | 0.806 | |
| ReMedTrain mode=Single, Tokenization Strategy=MLTok2026.03 | 0.806 | |
| ReMedTrain mode=Single, Tokenization Strategy=LLM Align2026.03 | 0.805 | |
| Rajikomar*Train mode=Single, Tokenization Strategy=Code-base2026.03 | 0.803 | |
| GenHPFTrain mode=Single, Tokenization Strategy=MLTok2026.03 | 0.8 | |
| Rajikomar*Train mode=Multi, Tokenization Strategy=Code-base2026.03 | 0.795 |