Usage of data mining techniques in predicting the heart diseases — Naïve Bayes & decision tree

Abstract

Heart disease is the leading cause of death among all other diseases, even cancers. The number of men & women facing heart disease is on a raise each year. This prompts for its early diagnosis & treatment. Due to lack of resources in the medical field, the prediction of heart disease occasionally may be a problem. Utilization of suitable technology support in this regard can prove to be highly beneficial to the medical fraternity & patients. This issue can be resolved by adopting Data mining techniques. This paper intends to adopt Naive Bayes & Decision tree — two data mining techniques for the effective prediction of Heart disease. It compares the efficiency & accuracy of the two techniques to decide among them the best.