Table 1 242 features chosen for predicting CAD*
From: Machine learning-enhanced echocardiography for screening coronary artery disease
MW and LA strain-related features (202) | |||||||
|---|---|---|---|---|---|---|---|
MW features (170) | |||||||
GWE | GWI | GCW | GWW | GPW | GNW | GSCW | GSWW |
MW (18 segments) | GWE (18 segments) | ConsW (18 segments) | WastedW (18 segments) | PositiveW (18 segments) | NegativeW (18 segments) | SysConsW (18 segments) | SysWastedW (18 segments) |
PSS (18 segments) | Â | Â | Â | Â | Â | Â | Â |
MW-related features (LV strain features 23) | |||||||
PSD | Peak systolic longitudinal strain (APLAX/A4C/A2C) | GLS | GLS (18 segments) | Â | Â | Â | Â |
LA strain features (9) | |||||||
LASr (A4C/A2C/avg) | LAScd      (A4C/A2C/avg) | LASct (A4C/A2C/avg) |  |  |  |  |  |
Clinic features (21) | |||||||
|---|---|---|---|---|---|---|---|
Age | Hypertension | Hyperlipemia | Family history | Uric acid | Creatinine | Homocysteine | BMI |
Gender | DM | Smoking | Heart rate | LDL-C | FPG | HbA1c | Electrocardiogram |
Systolic BP | Diastolic BP | Height | Weight | Body surface area | Â | Â | Â |
Conventional echocardiographic data (19) | |||||||
|---|---|---|---|---|---|---|---|
Regional wall motion abnormalities | Aortic sinus diameter | Ascending aorta diameter | Left atrial diameter | Inter-ventricular septum end-diastolic thickness | LV end-diastolic diameter | LV posterior wall end-diastolic thickness | LV end-diastolic volume |
LVEF | Right ventricular end-diastolic diameter | Mitral A wave | Mitral E wave | Mitral E/e’ septal average ratio | Tricuspid A wave | Tricuspid E wave | Peak aortic valve velocity |
s’ Septal TDI | e’ Septal TDI | a’ Septal TDI |  |  |  |  |  |