Length Of Stay Prediction On Mimic Iii
평가 지표
Accuracy (LOSu003e3 Days)
Accuracy (LOSu003e7 Days)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Accuracy (LOSu003e3 Days) | Accuracy (LOSu003e7 Days) | Paper Title | Repository |
|---|---|---|---|---|
| GRU-D | 68.3% | 91.2 | MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III | |
| EHR-Graph Transformer (pre-trained) | 71.4% | - | Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions | - |
| EHR-Graph Transformer | 70.3% | - | Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions | - |
| Random Forests (RF) | 69.5% | 92.3 | MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III | |
| Logistic Regression (LR) | 68.6% | 91.9 | MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III |
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