Early Identifying Heart Disease by Prediction Using Data Mining

Abstract

Nowadays Cardiovascular disease (heart disease) is a hot theme of medical field. Under the title of “Early Identifying Heart Disease by Prediction by Using Data Mining” our paper will expose pre-condition about heart disease. Whole works are done by some attributes of patients by using some algorithm to express better accuracy of heart disease prediction. K-NN, Decision Tree Classifier, Regression, Support vector Machine, an d Random Forest Classifier are used. Using every algorithm, we found out best accuracy from Random Forest Classifier. And the accuracy is 97.99%. So, after better predicting we/people can take decision our/their next steps for better treatment.