Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features - Kagiyama, Nobuyuki; Piccirilli, Marco; Yanamala, Naveena; Shrestha, Sirish; Farjo, Peter D.; Casaclang-Verzosa, Grace; Tarhuni, Wadea M.; Nezarat, Negin; Budoff, Matthew J.; Narula, Jagat; Sengupta, Partho P. (Journal of the American College of Cardiology, 2020)
Keywords: Cardiovascular; Early Diagnosis; echocardiography; Echocardiography - methods; electrocardiogram; Female; Heart Failure, Diastolic - diagnosis; Heart Failure, Diastolic - physiopathology; Humans; left ventricular diastolic dysfunction; Machine Learning; Male; Middle Aged; Myocardial Contraction - physiology; myocardial relaxation; Predictive Value of Tests; ROC Curve; Signal Processing, Computer-Assisted; Stroke Volume; Ventricular Dysfunction, Left - diagnosis; Ventricular Dysfunction, Left - physiopathology; spECG; echocardiography; ECG; LVEF; LVDD; LV; AUC; machine-learning; electrocardiogram; left ventricular diastolic dysfunction; NPV; PPV; myocardial relaxation; TR; positive predictive value; signal-processed electrocardiogram; area under the curve; left ventricular ejection fraction; tricuspid regurgitation; left ventricle/ventricular; negative predictive value