eICU
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Diagnosis Prediction | eICU spatial domain shift, Midwest as target (test) | Weighted F169.72 | 21 | |
| Heart Failure Prediction | eICU spatial domain shift 2014-2015 (test) | AUROC92.54 | 15 | |
| Vasopressor (Vaso) use prediction | eICU | AUROC0.77 | 12 | |
| Length of Stay (LOS) prediction | eICU | AUROC70 | 12 | |
| Readmission Prediction | eICU spatial domain shift, Midwest as target (test) | AUPRC22.74 | 10 | |
| Safety Compliance Evaluation | eICU-AC | LPA98.4 | 10 | |
| Readmission Prediction | eICU | AUC-ROC0.7879 | 9 | |
| Mortality Prediction | eICU | AUC-ROC0.9234 | 9 | |
| Survival Analysis (Sepsis) | EICU | Ctd0.87 | 8 | |
| Sepsis Prediction | eICU | IBS0.055 | 8 | |
| Data Imputation | eICU MNAR 50% missingness | NRMSE0.148 | 8 | |
| Data Imputation | eICU MNAR 30% missingness | NRMSE0.145 | 8 | |
| Data Imputation | eICU MNAR 10% missingness | NRMSE0.125 | 8 | |
| Length of Stay Prediction | eICU | MAD1.78 | 7 | |
| Imputation | eICU MAR 30% missingness | NRMSE0.125 | 7 | |
| Imputation | eICU MCAR 30% missingness | NRMSE0.124 | 7 | |
| ICU mortality prediction | eICU YAIB-aligned | AUROC86.4 | 7 | |
| Uplift Modeling | eicu | AUROC0.54 | 6 | |
| Synthetic Data Generation | eICU (test) | MMD0.012 | 6 | |
| Unsupervised Prediction | eICU 24 hours | NMI0.0421 | 3 | |
| Unsupervised Prediction | eICU 12 hours | NMI0.0444 | 3 | |
| Unsupervised Prediction | eICU 6 hours | NMI4.74 | 3 | |
| Data Imputation | eICU | NRMSE0.125 | 2 | |
| Electronic Health Record Analysis | eICU | ISR98.5 | 1 | |
| Length of Stay Prediction | eICU (test) | MAD- | 0 |
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