SILICOFCM_Virtual patients repository_clinical features

Generation of a virtual dataset based on one of the integrated virtual generators into the SILICOFCM platform. The dataset contains 1000 virtually generated patients with 20 virtually generated clinical features by the real dataset of SILICOFCM: age, sex, NYHA class, systolic pressure, diastolic pressure, syncope, heart murmurs, left ventricular ejection fraction (LVEF or EFLV), left ventricular internal dimension at end-diastole (LVIDd), left ventricular internal dimension at end systole (LVIDs), intraventricular septal thickness at end-diastole (IVSd), posterior wall thickness at end-diastole (PLWd), endsystolic volume of left ventricle (SVLV), left ventricular outflow tract maximum pressure gradient (maxLVOTPG), Doppler E/E’ ratio (EE), body to mass index (BMI), left atrium size (LA), Alanine aminotransferase (ALT), aorta size (AO), and aortic valve (AV). The dataset can be utilized for Machine Learning modeling.