Abstract:
Heart disease has become one of the most prevalent diseases which people are being suffered from .According to statistics, it is one of the most important causes of deaths all over the world (CDC’s) report.
The detection of heart disease is very difficult and human dependant, and there is no strict boundaries between the healthy and diseased heart, many errors may occur and the errors may relate to dangers result including death. To solve this problem fuzzy logic is used to build expert systems which include a many rules that determined patient case according to the entered patient data after being processed, compared to reference data, and finally analyzed to give the final result of the heart state.
After applying the system on data of 30 patients, there disease was diagnosed by a doctor and by a fuzzy expert system and the results obtained by the these two methods were compared and found that twenty nine of the results were identical and of the result were different, and this difference was due to the fact that the fuzzy expert system depends on the rules must be included to in all the possibilities.
The proposed system is more effective compare to previous systems because the accuracy is increased to 97%.
