Human Heart Failure Prediction Using Machine Learning Algorithm

Abstract

The heart is an important organ that controls blood flow in the body. Heart failure is not a disease, but a clinical condition. The body’s circulatory needs cannot be met by the heart as a result of it because it affects the ventricle’s capacity to fill or eject blood. According to the World Health Organization, 17.9 million fatalities are projected to be brought on by heart failure each year. Numerous persons had died from heart failure. Lifesaving measures can be taken in advance with the proper application of algorithms and an awareness of patterns. With this study, we hope to anticipate the total risk of heart failure and identify the main heart failure risk factors. This paper will promote the deployment of a program for heart failure. This study will advocate for putting in place a heart failure prediction that addresses the previous, significant problems highlighted above.