Classification Model for Prediction of Heart Disease using Correlation Coefficient Technique

Abstract

© 2020, World Academy of Research in Science and Engineering. All rights reserved. Today health care services have come up with an advanced way to treat patients having different diseases. Among all, one of the harmful diseases is the cardiovascular disease that can’t be visible with a unadorned eye and comes right away when its limitations are reached. With rise in population, there is a rise in heart disease rate. Today, diagnosing patients in an effective manner have become a challenging task. The healthcare industry picks up large quantity of healthcare data but, rarely that is used to extract hidden patterns for efficient decision making purpose. Thus, we proposed to develop an approach which will help practitioners to diagnosis heart related disease. So, there is a necessity to develop a decision making system which will helps practitioners to predict heart diseases in an easier way and will offer automated predictions about the condition of the patient’s heart so that further treatment can be done effectively. This proposed system will not only make accurate predictions about heart disease but also brings down cost & time. The Machine Learning algorithms have determined to be most accurate & reliable and hence used in this paper.