UK Biobank
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Regression | UK Biobank (test) | MAE1.51 | 18 | |
| Multi-label classification | UK Biobank (test) | AUC0.8491 | 18 | |
| Cardiac Phenotype Regression | UK Biobank ECG (test) | LVEDV Error-4.86 | 12 | |
| Disease Prediction (I21) | UK Biobank I21 2018 | AUPRC0.045 | 10 | |
| Disease Prediction (G45) | UK Biobank G45 target tasks 2018 | AUPRC0.021 | 10 | |
| Disease Prediction (J45) | UK Biobank J45 target tasks 2018 | AUPRC3.8 | 10 | |
| Disease Prediction (J44) | UK Biobank J44 2018 (target tasks) | AUPRC12.6 | 10 | |
| Clinical event forecasting | UK Biobank 365d | AUROC75.6 | 7 | |
| Clinical event forecasting | UK Biobank 180d | AUROC0.771 | 7 | |
| Clinical event forecasting | UK Biobank 90d | AUROC0.782 | 7 | |
| Clinical event forecasting | UK Biobank 30d | AUROC78.9 | 7 | |
| Longitudinal risk modeling | UK Biobank | AUC (365d)77.3 | 6 | |
| Activity Regularity Estimation | UK Biobank | RMSE0.114 | 6 | |
| Heart-rate-variability (HRV) Estimation | UK Biobank | RMSE0.109 | 6 | |
| Sleep Efficiency Prediction | UK Biobank | RMSE0.096 | 6 | |
| Clinical Outcome Prediction | UK Biobank (test) | CAD Performance69.872 | 5 | |
| Functional and Strain Phenotype Prediction | UK Biobank (test) | LVGCS0.619 | 5 | |
| Volumetric and Mass Phenotype Prediction | UK Biobank (test) | LVDV0.667 | 5 | |
| Generative Shape Modeling | UK Biobank (UKBB) (test) | Volume Variability3 | 5 | |
| Cardiac Segmentation | UK Biobank 4-chamber long-axis view | LV Dice92 | 5 | |
| Latent Space Interpretability | UK Biobank Cine MRI | SCC0.92 | 4 | |
| Cardiac Phenotype Prediction | UK BioBank | LVM (g)17.103 | 4 | |
| Cardiac Phenotype Regression | UK Biobank CMR (test) | LVEDV0.015 | 4 | |
| Age classification | UK Biobank | Balanced Accuracy31.15 | 3 | |
| 2D DXA bone mask overlap | UK Biobank Female (test) | OR94 | 3 |
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