Prognosis of Heart Disease using Machine Learning Algorithms

Abstract

Abstract: This article presents the prediction of the heart diseases by using the machine learning algorithm. One of the major causes of morbidity in the world's population is the prediction of heart attacks. Cardiovascular disease is a very essential disease that is included in the clinical data analysis as one of the most crucial sections for the prediction. In this study, we describe a technique to heart attack prediction that uses machine learning to analyse several risk factors and make predictions about heart attacks. Heart disease cases are rising quickly every day, thus it's crucial and worrisome to predict any potential illnesses in advance. This diagnosis is a challenging task that requires accuracy and efficiency. The primary focus of the research paper is on which patients, given certain medical characteristics, are more likely to suffer heart disease. Using the patient's medical history, we developed a system to determine if a heart disease diagnosis is likely or not for the patient