Abstract The present disclosure seeks to provide a method to predict coronary artery disease using fuzzy expert system. In this disclosure, expert system is designed by the help of fuzzy logic toolbox and Mamdani interface system was used. It is one of the most efficient methods to create an expert system and diagnosis the heart disease. The proposed implementation system has better performance and accuracy compared with the previous research related to diagnosis of heart disease. So far, 94.5% accuracy has been archived, which is the highest accuracy when using fuzzy expert system. From the result, it can be concluded that the proposed system has the highest accuracy but it will still require getting more accuracy. r(4 1 t wf 00 r4 0: 00 0 r-i r 4-i c a,) -~0 E E ) E) 0 -3 . -~ Li a)a0 a) C 0 cu. C a) Za Li 4-0 a)o bo a) E. a) a)c a) a) 7 I- -u o~ ~ - >- I L 1 I r-Jr. IL i