Ensemble Based Prediction of Cardiovascular Disease Using Bigdata analytics

Abstract

Heart attack is leading cause of death. In our body heart is hardest working organ. Risk factors for future cardiovascular is people with high cholesterol, high blood pressure, diabetes, strong family history. Heart attack is primarily caused by lifestyle. CAD is coronary arteries blood vessels supply oxygen and blood to the heart.it is almost cause of death worldwide. Coronary arteries normally happen when deposition of cholesterol accumulate artery walls creating plaques. Arteries being tighten and difficult to blood flow to the heart. It also causes blood clots of rhombus totally occludes blood flow, when a blockage occur it is called coronary occlusion. So, blockages are occlusion (myocardial infarction) of heart attack. contraction of heart muscle suddenly stopped. Blood viscosity is important role to maintain vascular homeostasis. Hematocrit is the packed cell volume (pcv) of blood. Few machine learning algorithms applied to large amount of data and accuracy checked. The proposed model is CVD prediction using Extreme Gradient Boost, DT, KNN, SVM, Naïve bayes, Random forest, ANN, Hyper parameter tunned random forest Algorithm.