A Performance Comparison on Machine Learning for Forecasting Heart Disease

Heart is a vital organ in the human body. It is one of the superior organs, which receives more attention from the internal organs. According to various research studies, heart diseases were considered as the leading cause of death worldwide. The heart disease prediction techniques require more accuracy and precision to identify and forecast various disorders. Any improper disease diagnosis can cause death. Many researchers have been experimenting to develop a software system to predict heart disease using machine learning. The primary goal of this research work is to predict cardiac disease in humans using a machine learning algorithm. This study has reviewed some data mining and machine learning methodologies to perform heart disease prediction.