HEART DISEASE PREDICTION USING DATA MINING TECHNIQUES

Heart diseases have an abundant pact of attention in medical research due to its impact on human health. Heart diseases are amongst the nation's prominent cause of death. Data mining has developed as a vital approach for computing applications in medical informatics. Numerous algorithms connected with data mining have considerably helped to recognise medical data more evidently .In this work, supervised machine learning algorithms namely SVM, KNN and Naive Bayes are used to predict the heart diseases. The machine learning algorithms are implemented using R programming language. The performances of the algorithms are measured in terms of accuracy. The functionality of the algorithms are examined and the outcomes were deliberated.