HYBRID SUPERVISED LEARNING MODEL FOR CHRONIC HEART FAILURE FROM PCG DATA RECORDS

Abstract

Chronic heart failure (CHF) is a chronic, progressive condition underscored by the heart’s inability to 
supply enough perfusion to target tissues and organs at the physiological filling pressures to meet their 
metabolic demands. CHF has reached epidemic proportions in the population, as its incidence is increasing 
by 2% annually. In the developed world, CHF affects 1-2% of the total population and 10% of people older 
than 65 years. Currently