Abstract
We have developed a new computerized system that can aid in the detection and classification of coronary artery disease. This system employs fuzzy theory that can analyze the data of stress myocardial scintigrapy in cardiac neuclear medicine. This system requests 4 units of input data such as, stress electrocardiogram(ECG), existance of chest pain (CP), parcentageof lung uptake(LU) and double product(DP). And output data of this system (diagnosis) consists 3 units, normal, single vessel disease (SVD), multivessel disease (MVD). The results in 500 cases of coronary artery disease show that sensitivity of this system is 83% and specificity is 62%. Our study also demonstrates that the sensitivity and specificity in this system depends on the variety of the membership function. We can quantitate the division process of medical docter (Radiologists) that usually depends on the experiencre and intuition. The preliminary study suggests that usefulness for the computer-aided diagnosis of coronary artery disease in stress myocardial scintigrapy.
