Abstract UpdateIridology 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

AbstractThis study designed an application for the recognition of early kidney disorders through digital images of the iris using the convolutional neural network (CNN) method with the Raspberry Pi 3 model B + interface. The best accuracy results obtained by varying the number of epochs, the learning rate value, kernel size, database composition, and the pooling layer function... Read More

Abstract: Iridology is one of the technologies that is used in medical sector for helping the medical staffs in analyzing the patient's health from the observed iris. The assessment is based on mapping that uses iridology chart or Jensen diagram. In iris-mapping-process, the location representing each organ is close to each other, thus it is quite difficult to distinguish the... Read More

Serious illnesses such as strokes and heart attacks can be triggered by high levels of cholesterol in human blood that exceeds ideal conditions, where the ideal cholesterol level is below 200 mg/dL. To find out cholesterol levels need a long process because the patient must go through a blood sugar test that requires the patient to undergo fasting for... Read More

Abstract:The advancements in medical imaging and information technology have paved the way for the use of computers in diagnosis. It has also become essential to reduce the mortality rate by early detection of diseases. Computer-Aided Diagnostic (CAD) systems are being developed to diagnose diseases from different medical imaging modalities. Interpretation of these images presents challenges to the expert as... Read More

Abstract:In recent years, the demand for alternative medical diagnostics of the human kidney or renal is growing, and some of the reasons behind this relate to its non-invasive, early, real-time,and pain-free mechanism. The chronic kidney problem is one of the major kidney problems,which require an early-stage diagnosis. Therefore, in this work, we have proposed and developed an Intelligent Iris-based... Read More

AbstractThe Heart disease is the leading cause of death for both men and women worldwide. Iridology is the science that allows a health practitioner or non-expert to learn the signs in the iris of the eye that is capable of indicating the presence of abnormalities in the body and other weaknesses. Iridology is one of the preliminary way of... Read More

Abstract: In the world of medical or health identification early kidney function is something that can not be underestimated. Special attention is needed on this matter. In determining the function of the kidneys can be seen through the internal organs can be seen is the iris. Through iris ophthalmologist can determine a person's kidney function along with several other supporting... Read More

ABSTRACTThe study aims to make simple detection of upper stomach disorders of the iris image based on the chart to iridology, making anupper stomach disorder detection system using backpropagation artificial neural network method and determining the accuracy of the system. Backpropagation artificial neural networks is a type of neural network that trains the network to get a balance between... Read More

AbstractDiabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-organ failure in patients. Thanks to advances in machine learning and artificial intelligence, which enables the early detection and diagnosis of DM through an automated process which is more advantageous than a manual diagnosis. Currently, many articles are published on automatic DM detection, diagnosis, and self-management... Read More