Table 1.
Features chosen to be predictors in CHD prediction model
| 2D-STE features | ||
| Peak systolic strain (PSS) | 17 segments | |
| Longitudinal strain | Rate of systolic strain (SSR) | 17 segments |
| (mid-layer) | Time-to-peak (TP) | 17 segments |
| Mitral valve level (MV) | 3 layers (ENDO/MID/EPI) | |
| Global strain (GS) | Papillary muscle level (PM) | 3 layers |
| for radio | Apical level (AP) | 3 layers |
| Global longitudinal peak strain (GLPS) | 3 layers (ENDO/MID/EPI) | |
| Peak standard deviation (PSD) | ||
| Clinic features | ||
| Age (integer) | ||
| Gender (M/F) | ||
| Hypertension (Y/N) | ||
| Diabetes (Y/N) | ||
| Hyperlipemia (Y/N) | ||
| Smoke (Y/N) | ||
| Family history (Y/N) | ||