A Hybrid Expert System Supporting Diagnosis of Heart Diseases

In this paper, we have developed a hybrid expert system prototype used for supporting diagnosis of heart diseases. The system merges uncertainty management techniques and case-based reasoning. The system is able to give appropriate diagnosis for 4 heart diseases namely; mitral stenosis, left-sided heart failure, stable angina pectoris and essential hypertension with the corresponding certainty factor. The system has been implemented in visual prolog for windows and has trained set of 42 cases for Egyptian cardiac patients and has been tested by another 13 different cases. Each case contains 33 significant attributes resulted from the statistical analysis performed to 110 cases.