Machine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features (JACC) – Vol. 76 No. 8, – August 2020
Abstract
"\nMachine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features (JACC) – Vol. 76 No.
"Skip to content\nHome\nProducts\nClinical\nNews\nInvestors\nAbout Us\nContact Us\nINVEST NOW\nPUBLICATIONS\nMachine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features (JACC) – Vol. 76 No. 8, – August 2020\nAugust 25, 2020\n\nA quantitative prediction of myocardial relaxation can be performed using easily obtained clinical and ECG features. This cost-effective strategy may be a valuable first clinical step for assessing the presence of LV dysfunction and may potentially aid in the early diagnosis and management of heart failure patients.\n\nLink to article\nMachine Learning Assessment of Left Ventricular Diastolic Function Based on Electrocardiographic Features | Journal of the American College of Cardiology (jacc.org)\n