Detection of Cardiac Disorders Using Computerized Iridology Using SVM Classification Methods

Abstract

The ability of the human eye iris can provide a sign of organ disorders based on iridologi.Sekarang science iridology developed not only the experts and medical manually done, but also can be detected automatically using methods of implementing artificial intelligence and can be implemented via desktop. In this study focused on diagnosing the heart organ which required the left eye iris, iris data retrieval in the direction of 2:00 to 3:00 hours. From some extraction methods the characteristics and classification of the author using the method of extraction features Principal Component Analysis (PCA) and classification of Support Vector Machine (SVM) which is derived from the method of ANN. In this research the accuracy results obtained during training 100% and 80% in testing.

Lintang Indah Permatasari, Astri Novianty, Tito Waluyo Purboyo

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