ASCVD Risk Prediction on Wearable Health Data (5-fold CV)
0.784Pearson Correlation Coefficient (r)SensorFM
Evaluation results
| Method | Links | |
|---|---|---|
| SensorFMInput Features=Demos. + SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.784 | |
| Feat. Eng.2026.05 | 0.782 | |
| SensorFMInput Features=SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.772 | |
| SensorFMInput Features=SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.764 | |
| SensorFMInput Features=Demos. + SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.756 | |
| Feat. Eng.2026.05 | 0.74 | |
| SensorFMInput Features=Demos. + Feat. Eng. + SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.73 | |
| SensorFMInput Features=Demos. + Feat. Eng. + SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.714 | |
| SensorFMInput Features=Feat. Eng. + SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.604 | |
| SensorFMInput Features=Feat. Eng. + SensorFM, Dimensionality Reduction=PCA-502026.05 | 0.592 |