APPLICATION OF MACHINE LEARNING TECHNIQUES FOR THE PREDICTION OF HEART DISEASE

Abstract

Heart disease is one of the leading problems of health care service today. It is a common scenario that a patient does not understand if he has heart disease or not. Several diagnoses are done to predict the presence of heart disease. By the help of Machine Learning tools such as Logistic Regression, Artificial Neural Network, Support Vector Machine and Gaussian Process Classification we are going to analyze the five different dataset of heart disease patients. Based on those data we will try to make a platform where we can predict if a patient has a heart disease in his body or not. By examining this machine learning techniques through PYTHON and MATLAB we are going to compare the accuracy result and determine the better technique to use