APPLICATION OF MACHINE LEARNING TECHNOLOGY TO CLASSIFICATION OF HEART DISEASES

Abstract

In this study, we used machine learning to classify heart disease based on symptoms and laboratory information recorded in the patient dataset. Experiments were conducted to classify heart disease or not heart disease on the public data set of heart disease with the Naïve Bayes algorithm and Artificial Neural Network (ANN) respectively. The obtained experimental results show that the application of machine learning techniques to heart disease classification has quite good performance with accuracy (Accuracy-Acc) of 84% and 87%.