Intelligent Heart Disease Prediction System Using CANFIS and Genetic Algorithm

摘要: Heart disease (HD) is a major cause of morbidity and mortality in the modern society. Medical diagnosis an important but complicated task that should be performed accurately efficiently its automation would very useful. All doctors are unfortunately not equally skilled every sub specialty they many places scarce resource. A system for automated medical enhance care reduce costs. In this paper, new approach based on coactive neuro-fuzzy inference (CANFIS) was presented prediction heart disease. The proposed CANFIS model combined neural network adaptive capabilities fuzzy logic qualitative which then integrated with genetic algorithm to diagnose presence performances were evaluated terms training classification accuracies results showed has great potential predicting Keywords—CANFIS, Genetic Algorithms (GA), disease, Membership Function (MF).