Patient Phenotyping On Hirid
평가 지표
Balanced Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | Balanced Accuracy | Paper Title | Repository |
|---|---|---|---|
| TCN | 41.6±2.3 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LGBM | 40.4±0.8 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LGBM ( + hand crafted features) | 45.8±2.0 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| Transformer | 42.7±1.4 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| GRU | 39.2±2.1 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| Logistic Regression | 39.1±0.0 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
| LSTM | 39.5±1.2 | HiRID-ICU-Benchmark -- A Comprehensive Machine Learning Benchmark on High-resolution ICU Data | - |
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