Heart Attack Disease Data Analytics and Machine Learning

The most serious problems that faces a cardiologist the patient with heart, failure heart failure is very common and increasingly common these days it’s because it is a common complication of older individuals and of course the older population is increasing throughout North America and Western Europe as well as Asia heart failure is defined differently in different circumstances by different cardiologists, but basically it’s an inability of the heart to pump enough blood to meet the demands of the body in other words if one exercises one requires an increase in blood flow to the body and if you can’t do that you may develop the symptoms of heart failure as we’re going to see, there are a number of compensatory mechanisms that get set off in heart failure and some of them actually work to increase symptoms. Diseases of the cardiovascular are the reasons for the deaths of millions of people in the world. Heart attack disease is the disease that occurs when the flow of blood blocks, by the blood clot. In this case when the flow of the blood blocks the muscle of the heart begins to die because of shortage of blood. And according to research of science it is stated that a heart attack occurs in the age between forty and fifty. So, our motive for this project is analyzing the disease of heart attack on the basis of different features. In the case of a heart attack the major point is diet and it is very helpful to maintain blood pressure and cholesterol. That is the plus point to maintain good health and heart muscles.