Bigdata Analysis Using Machine Learning Algorithm in Predicting the Cardiovascular Disease

Group of unconditional of heart and blood vessel cerebrovascular disease, coronary heart disease, and rheumatic heart disease are (CVD) cardiovascular disease. 31% of global cardiovascular deaths 85% are due to strokes and heart attacks. The heart itself is a muscle, and it needs oxygen. The arteries getting blocked or clogged are coronary arteries. The formation of plaque is obstructing the artery. We call that coronary artery disease as heart failure. The ruptured plaque highly thrombogenic material happens, when blood clot obstructs the blood vessel. Part of muscle tissue dies is a heart attack. Cardiac arrest is the actual death of the heart. Machine learning algorithms in bagging, boosting, and stacking of ensemble techniques. This paper proposed to predict heart disease in classification techniques using a machine learning algorithm.