Respiratory Failure On Hirid
평가 지표
AUPRC
Recall@50
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | AUPRC | Recall@50 | Paper Title | Repository |
|---|---|---|---|---|
| Temporal Label Smoothing | 0.604±0.002 | 77.0 | Temporal Label Smoothing for Early Event Prediction | - |
| LSTM | 0.569±0.003 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LGBM ( + hand crafted features) | 0.604±0.002 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| TCN | 0.589±0.003 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| GRU | 0.592±0.003 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| Logistic Regression | 0.530±0.000 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LGBM | 0.585±0.001 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| Transformer | 0.594±0.003 | - | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
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