Early Detection Study of Kidney Organ Compilation Caused by Diabetes Mellitus using Iris Image Color Constancy

Prayitno, Agus and Wibawa, Adhi Dharma and Purnomo, Mauridhi Hery (2016) Early Detection Study of Kidney Organ Compilation Caused by Diabetes Mellitus using Iris Image Color Constancy. In: International Conference on Information & Communication Technology and Systems (ICTS) 2016, 12 Oktober 2016, Departement of Informatics, Institut Teknologi Sepuluh Nopember, Surabaya, Indonesia.

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Abstract

Diabetes Mellitus is now becoming a mass silent killer in the society because ti does not show any signs previously to the patients until it has been in the dangerous level. Most people just realize their diabetic condition when the stage was already too late. In many cases, Diabetes Mellitus causes many complications to other organs, such as kidney, cardiovascular, liver, or blood pressure. This study is analyzing the early stage of kidney complication caused by Diabetes Mellitutus by analyzing iris image of the patient. Nowadays, there have been several tools that ca be used to analyze the condition of patient kidney including blood test. However, a new approach id needed for a faster, simpler and non-invasive detection system. Iridology is a new branch of science that studying the condition of human organ via iris image. Based on Iridology, the structures of iris fibers are relating to the condition of certain organ in human body. This study is exploring the relationship of Kidney organ complication with the iris fibers structures(image of iris) and validated the result with patient's medical records. An Existing iris chart introduced by Bernard Jensen was used to analyze the Kidney organ condition. The location of Kidney organ in iris is at 200º - 210º when image of iris was devised by 360º. Image if iris was taken by using a specific iris camera. Region of interest (ROI) was then determined by using the iris chart. Color constancy and independent component analysis were used to analyze the ROI of iris image. Broken tissue in iris image would be the feature for detecting the complication of kidney organ. From 47 participants, the result showed that 76% of participants showing a relation of kidney's complication with their iris image. This result conclude that iris image analysis can be used as an alternative way in monitoring the condition of internal organ internal organ such as kidney's complication

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