Predicting Heart disease from Medical Data by Applying Naive Bayes and Apriori Algorithm
Data mining could simply be explained at the non trivial extraction of the potentially useful, inherent, and previously unknown information from data. The foremost feature of data mining technique is that it provides a user oriented approach to hidden and novel patterns in the data. Data mining techniques have played a major role in the designing and development of the support system exclusively because of its abilities for discovering hidden patterns and relationships in the medical data. The purpose of this research study is to compare different data mining algorithms that could be used for the prediction of heart disease.