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    • About Iridology Research
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Deep Learning Algorithm for Prediction of Brain Diseases Using Iris Image

May 16, 2022 | Abstracts

Abstract With the rapid development of ICT technology along with the 4th industrial revolution, in the field of Traditional Korean medicine. we also analyze data on obesity and complications for preventive management of yoyo phenomenon, custom medical treatment such as improvement of complications, and medical examination. Various ICT technologies have been introduced and studied. From the viewpoint of Traditional Korean... Read More

Modified Gray-Level Haralick Texture Features for Early Detection of Diabetes Mellitus and High Cholesterol with Iris Image

May 16, 2022 | Abstracts

Abstract Iris has specific advantages, which can record all organ conditions, body construction, and psychological disorders. Traces related to the intensity or deviation of organs caused by the disease are recorded systematically and patterned on the iris and its surroundings. The pattern that appears on the iris can be recognized by using image processing techniques. Based on the pattern in... Read More

A MACHINE LEARNING APPROACH FOR DETECTION OF DIABETIC SYMPTOM ON HUMAN USING IRIS

May 16, 2022 | Abstracts

ABSTRACT Iris image investigation for clinical finding is quite possibly the most proficient harmless detection technique for deciding wellbeing status the diabetic patients. Right and opportune determination is a basic, yet fundamental prerequisite of clinical science. From the study, it is observed that cutting edge innovation additionally falls flat in part of cases to analyze infection accurately. The endeavor is... Read More

Identification of Coronary Heart Disease through Iris using Gray Level Co-occurrence Matrix and Support Vector Machine Classification

May 16, 2022 | Abstracts

Abstract Now-a-days, coronary heart disease is one of the deadliest diseases in the world. An unfavorable lifestyle, lack of physical activity, and consuming tobacco are the causes of coronary heart disease aside from genetic inheritance. Sometimes the patient does not know whether he has abnormalities in heart function or not. Therefore, this study proposes a system that can detect heart... Read More

A non-invasive diabetes diagnosis method based on novel scleral imaging instrument and AI

November 7, 2021 | Abstracts

ABSTRACT Type 2 diabetes mellitus is one of the most common metabolic diseases in the world. However, frequent blood glucose testing causes continual harm to diabetics, which cannot meet the needs of early diagnosis and long-term tracking of diabetes. Thus non-invasive adjuvant diagnosis methods are urgently needed, enabling early screening of the population for diabetes, the evaluation of diabetes risk, and assessment of... Read More

Infrared Sensing Based Non-Invasive Initial Diagnosis of Chronic Liver Disease Using Ensemble Learning

November 7, 2021 | Abstracts

Abstract: The liver is a vital human body organ and its functionality can be degraded by several diseases such as hepatitis, fatty liver disease, and liver cancer and so forth. Hence, the early diagnosis of liver diseases is extremely crucial for saving human lives. With the rapid development of multimedia technology, it is now possible to design and implement a... Read More

Comparative Study on Iris Manifestations between COVID-19 Severe Cases and Non-COVID Individuals

November 7, 2021 | Abstracts

Abstract Aims: To compare the iris manifestations between COVID-19 positive (severe) cases and their age and gender matched non-COVID-19 individuals. Study Design and Setting: A comparative cross sectional survey performed in Government Omandurar Medical College, Chennai Methodology: This study was performed to compare the iris manifestations between COVID-19 positive (severe) cases (n = 119) and their age and gender matched non-COVID-19 individuals (n = 119). Iris manifestations... Read More

Deep learning based chronic kidney disease detection through iris

November 7, 2021 | Abstracts

Abstract Kidney is an important organ in human body as it maintains the nutrients and fluid balance in our body. It is extremely beneficial if its dysfunctionality is diagnosed at an early stage. Iridology provides a pathway to examine the kidney disease through iris images. Therefore, in this work we proposed the Iris-based Kidney Disease Identification System (IKDIS). The IKDIS... Read More

An Efficient Machine Learning Approach to Nephrology through Iris Recognition

November 7, 2021 | Abstracts

  Abstract: Iridology is a technique in science used to analyze color, patterns, and various other properties of the iris to assess an individual's general health. Few regions in the iris are connected by nerves coming from different organs of body, this shows some special unique qualities which is advantageous along with which assist in psychological condition, particular organ conditions and... Read More

Parameters to increase the quality of iridology studies: A scoping review

November 7, 2021 | Abstracts

Abstract Introduction Iridology is an applied health practice whose overall aim is to better understand the constitution of an individual. There are a range of new methods which can be used to acquire and interpret images but these have not as yet been reviewed. This scoping review aims to build on previous reviews and explore publications from 2014 to 2019. Methods This scoping... Read More

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