Prediction of cardiac ailments in diabetic patient using ensemble learning model

Abstract

Due to modern life style there are so many medical issue arises, hence there is increase in risk of disease, here we focus on cardiac ailments in Diabetic Patients. Data driven approach may help in this medical field because data collected by health organization contains useful information by applying Machine learning approach prediction can be done. There are many research has been carried out in this field but less effort drawn in cardiac aliment for diabetic patients. This paper provides an experimental comparison among different machine learning classifiers meant of data forecast to perfectly describe research gap and we have proposed a prediction model named Pretreat-Ensemble, in which we will apply 3-phase preprocessing over input dataset before ensemble machine learning classifier. We have achieved almost 99.7% average accuracy of proposed prediction model.