CLASSIFICATION OF IRIS IMAGE OF PATIENT CHRONIC RENAL FAILURE (CRF) USING WATERSHED ALGORITHM AND SUPPORT VECTOR MACHINE (SVM)1ADHI. D. WIBAWA, 2MAYA. A. R. SITORUS, 2MAURIDHI. H. PURNOMO 1Asstt Prof., Department of Multimedia and Network Engineering, Institut Teknologi Sepuluh Nopember, Surabaya, INDONESIA 2Department of Informatics Engineering, Politeknik Negeri Batam, INDONESIA 3Prof., Department of Multimedia and Network Engineering, Institut Teknologi Sepuluh Nopember, Surabaya,... Read More

AbstractIridology is the science that aims to identify certain human pathologies through human iris by using manual visual methods. These methods, although they are less invasive, are cumbersome. In this paper, a detailed description of the results obtained by applying an algorithmic approach for the automatic identification, calculation, and computation measurements of the key internal parameters of the human... Read More

ABSTRACTCholesterol is fat in the blood that is needed for the formation of hormones and new cells. Normal cholesterol levels should be less than 200 mg / dL, but if above 240 mg / dL will be at high risk of stroke and coronary heart disease. This study produced a system that can detect a person's cholesterol levels through... Read More

AbstractCholesterol is a fat in human blood that is needed for the formation of several hormones and new cell walls. Normal human cholesterol levels are in the range of 200 mg / dL or less, but if above 240 mg / dL will be at high risk of various dangerous diseases such as stroke and coronary heart disease. If... Read More

Abstract Digital image processing and advanced machine vision techniques are popular for the diagnosis of disease(s) in biomedical science. This paper presents a detailed comparative analysis of machine learning-based classification techniques to diagnose type 2 diabetes using the combination of iris-based features and physiological parameters. A set of 334 subjects are investigated which are divided into diabetic and non-diabetic groups.... Read More

AbstractThe recent increase in the number of diabetic cases due to genetic reasons or sedentary lifestyle, necessitates urgent need for an effective glucose monitoring system. Certainly, periodic glucose level monitoring in the blood will prevent from entering chronic diabetic condition and a noninvasive monitoring tool leads to a simple and automated diagnosis procedure. In this present work, an iridology-based... Read More

Abstract—In this study we describe how to detect the presence of Alzheimer’s disease with the help of image processing. The data used are iridology images which are collected from subjects with and without Alzheimer’s disease,that studies the alterations of the iris in correspondence with the organs of the human body.This is done with the help of certain mathematical models... Read More

Abstract: Diabetes is a disease whose initial symptoms are often undetectable. As a result, many cases of diabetes are not detected early. Iridology can be an alternative to detect diabetes early. This method can reveal the state of the organ in the body before the appearance of symptoms of a disease. In this paper, a diabetes prediction system based... Read More

Abstract:One alternative and a non-invasive method named iridology, has been developed to find more effective way of detecting diabetes mellitus. Iridology is the method of mapping the human organs, and it has corresponded in iris' zone. It can be used to detect damaged tissues, particularly in the pancreas where it holds the primary role of producing insulin. This... Read More

Abstract According to an analytical study, the authors concluded that Iris is an objective reflector of congenital and acquired pathologies of the human body. And iridodiagnosis, as well as fingerprinting can provide invaluable assistance to the forensic doctor and forensic specialist in solving the problem of identification and individualization of the individual. In practice, iridology is one of the promising... Read More