CPSC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| ECG Classification | CPSC 2018 | AUC98 | 32 | |
| ECG Classification | CPSC | AUC0.9651 | 24 | |
| ECG Classification | CPSC 2018 | Macro AUC (1%)71.7 | 17 | |
| ECG Interpretation | CPSC 2018 | AUC69.3 | 15 | |
| ECG classification | CPSC 2018 (test) | AUROC98.6 | 12 | |
| Multi-lead reconstruction | CPSC 2018 (test) | MSE0.4 | 10 | |
| Classification | CPSC | F1 Score61.06 | 10 | |
| Cardiovascular Disease Detection | CPSC 2018 | AUC0.828 | 10 | |
| Multi-class classification | CPSC 2018 (test) | AUC97.3 | 9 | |
| ECG Classification | CPSC (test) | AUC96.51 | 8 | |
| ECG classification | CPSC 2018 (official) | Precision68.06 | 8 | |
| ECG Interpretation | CPSC 2018 Tier 1 (test) | PRAUC65 | 7 | |
| ECG classification | CPSC 2018 | AUROC96.5 | 7 | |
| ECG Classification | CPSC 2018 | Macro AUC97.9 | 7 | |
| ECG Modeling | CPSC | Accuracy73.7 | 6 | |
| Multi-label classification | CPSC 2018 (test) | AUC96.6 | 6 | |
| ECG Classification | CPSC 2018 | F1 Score80.1 | 6 | |
| VPB Classification | CPSC2018 external cohort | PRAUC73.1 | 4 | |
| NSR Classification | CPSC2018 (external cohort) | PRAUC37.2 | 4 | |
| STEMI Classification | CPSC external cohort 2018 | PRAUC15.3 | 4 | |
| ECG Classification | CPSC Intra-Source protocol 2018 (test) | Accuracy83 | 4 | |
| APB Classification | CPSC 2018 (external cohort) | PRAUC41.8 | 3 | |
| Forecasting | CPSC | RMSE109 | 3 |
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