Developing an Integrated Model Based on Regression Techniques in the Analysis of Individualized Predisposition to Cardiac Diseases

Abstract

We have done a Logistic regression Model in this exploration paper using a heart dataset. In the first place, we used Linear regression. Be that as it may, it gave just a portion of the outcomes. So, we used Linear regression, which finally helped with anticipating whether or not a particular individual gets a respiratory problem. A respiratory failure, called myocardial enclosed putrefaction, happens when a piece of the heart muscle doesn't get adequate blood. The extra time slips by without treatment to restore the circulatory system, the more vital the damage to the heart muscle. Coronary vein ailment (computer-aided design) is the essential driver of cardiovascular failure. We endeavored to predict whether an individual gets respiratory disappointment by setting up a model with some heartrelated highlights.