Heart disease classification framework using fuzzy and flower pollination neural network

Abstract

Heart Disease are among the leading cause of death worldwide. The application of artificial neural network as decision support tool for heart disease detection. However, artificial neural network required multitude of parameter setting in order to find the optimum parameter setting that produce the best performance. This paper proposed the heart disease classification framework using fuzzy and flower pollination neural network. Statlog heart disease dataset is used to evaluate the performance of the proposed framework. The results show that the proposed framework able to produce high classification accuracy where the overall classification accuracy for Statlog dataset ranging from 86.7% to 91.1%.