Heart disorder detection based on computerized iridology using support vector machine

Abstract

Human iris can be used for detecting organ disorders based on iridology science. Nowadays, iridology diagnosis can be done automatically by computer using artificial intelligence approach. This research focused on cardiac diagnosis based on left iris map on clockwise direction around 2:00 to 3:00. The Principal Component Analysis (PCA) is used for feature extraction while the Support Vector Machine (SVM) for classification. Experimental results showed that the highest accuracy of classification is 80% for the classification.