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.
