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Abstract Specific features of the eye iris were studied at iridobiomicroscopy in 250 patients with verified ischemic heart disease (IHD). Criteria of its iridodiagnosis have been formulated. The detected associations of HLA-antigens A3, B14, B15, B41 and Cw3 with typical for IHD iris changes confirmed hereditary predisposition of the main iridomarks. The results of iridoscopy may appear useful for prosnostification of IHD risk. It is suggested to consider iridologic phenotype characteristics among genetic markers indicating predisposition to IHD. Author information
Source: http://europepmc.org/article/MED/9490354
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Abstract: Heart is an organ which function is to pump blood throughout the whole body. Because of it’s never-ending work, heart is prone to have problems. Which is why a simpler and more efficient method to identify and recognize heart complication is needed. By using iridology, heart complication can be recognized through the iris. This research was done to create a system which can recognize a problem that is happening on the heart by observing the iris. The system will feature extraction by using two methods, Principal Component Analysis (PCA) and Gray Level Co-occurrence Matrix (GLCM), these are done to identify the effects of feature extraction method against the success rate and classification using Backpropagation Neural Network. The result showed that the success rate of using PCA produced 90% and using GLCM was 77.5%. Published in: 2018 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME) Date of Conference: 10-11 December 2018
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