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DENTIFICATION OF CORONARY ARTERY DISEASE THROUGH IRIS BY USING CONVOLUTION NEURAL NETWORKS

August 1, 2023 | 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 abnormalities through the iris,... Read More

Prediction of Coronary Artery Disease from Iris Images Using Local Binary Patterns and Artificial Neural Network

August 1, 2023 | Abstracts

Abstract Coronary Artery Disease (CAD) is a heart disease that occurs as a result of narrowing or occlusion of the coronary arteries that feed the heart muscle. Early diagnosis of CAD, which is a health problem with a high mortality rate worldwide, is very important. In this study, it was aimed to predict HR using iridology and image processing techniques. Unlike... Read More

Screening and validation of the iris manifestation among patients with hemiplegia – an observational study

August 1, 2023 | Abstracts

Abstract Objectives Understanding and validating the science behind traditional diagnostic methods is a niche area to be explored. Iris diagnosis is one such valuable diagnostic tool used in Naturopathy. In the current study, we have assessed and documented the iris changes observed among patients with hemiplegia with respect to the iridology chart. Methods We recruited 35 patients with hemiplegia which includes both genders. Iris... Read More

Pupillary Assessment for the Detection of Ischemic Stroke: Analysis of Multiform Pupil Shapes Using Bexel Irina Software

May 5, 2023 | Abstracts

Abstract Ischemic strokes, which occur when blood flow to the brain is obstructed, account for approximately 87% of all strokes and potential long-term disability. Prompt diagnosis and treatment of ischemic stroke are crucial for patient outcomes, and accurate and accessible diagnostic methods are needed for effective management of this condition. Ischemic Stroke is ranked as the second leading cause of death worldwide... Read More

A Deep Learning Approach for Kidney Disease Recognition and Prediction through Image Processing

May 4, 2023 | Abstracts

Abstract Chronic kidney disease (CKD) is a gradual decline in renal function that can lead to kidney damage or failure. As the disease progresses, it becomes harder to diagnose. Using routine doctor consultation data to evaluate various stages of CKD could aid in early detection and prompt intervention. To this end, researchers propose a strategy for categorizing CKD using an optimization... Read More

Diabetes and heart disease identification using biomedical iris data

May 4, 2023 | Abstracts

Abstract The World Health Organization (WHO) report shows that Heart disease is the majorcause of death all over the world i.e. nearly 21.2 million people die every year directly or indi-rectly from Cardiovascular (Heart) diseases estimated 32% of all deaths worldwide. Whereas,Diabetes is at the ninth position for the death all over the world i.e. nearly 3.7 million peopledie every... Read More

Prediction of Coronary Artery Disease Using Machine Learning Techniques with Iris Analysis

May 4, 2023 | Abstracts

Abstract Coronary Artery Disease (CAD) occurs when the coronary vessels become hardened and narrowed, limiting blood flow to the heart muscles. It is the most common type of heart disease and has the highest mortality rate. Early diagnosis of CAD can prevent the disease from progressing and can make treatment easier. Optimal treatment, in addition to the early detection of CAD,... Read More

Psychophysiological analysis of iridological markers of individuality

April 25, 2023 | Abstracts

INTRODUCTION Chapter 1. PSYCHO-PHYSIOLOGICAL PROBLEMS IRIDODIAGNOSTICS (REVIEW OF LITERATURE). 1.1. System substantiation of iridological psychodiagnostics. 1.2. Pathological markers of the iris. 1.3. Statement of the problem and research objectives. Chapter 2. METHODS OF PSYCHO-PHYSIOLOGICAL RESEARCH. 2.1. Object of research and organization of experiments. jv 2.2. Measurements of iridological parameters. 2.3. Methods of multi-level research of individuality. 2.4. Mathematical and statistical processing. Chapter 3. SYSTEM OF IRIDOLOGICAL INDIVIDUAL MARKERS. 3.1. Individual differences in iridological... Read More

Iridodiagnosis in diseases of the hepatobiliary system and kidneys

April 22, 2023 | Abstracts

Abstract Overall fifty patients with chronic hepatitis and 50 patients with concurrent pathologies were examined. The patients with chronic active hepatitis and in coexisting pathologies showed more profound depression of the immunity system as well as striking alterations on the iris of the eye. The former patient group received basic therapy, while the latter one were given immunomodulating agents against the... Read More

Red-Channel Based Iris Segmentation for Pupil Detection

March 8, 2023 | Abstracts

Abstract Iridology is the science and practice that helps to learn the health status through the examination of the structural aspects of an eye. Iris segmentation is an important phase in Iridology that aids to recognize iris signs and identify aberrant organ activity. The primary elements of iris segmentation are the detections of the iris and pupil. However, iris segmentation is greatly... Read More

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  • DENTIFICATION OF CORONARY ARTERY DISEASE THROUGH IRIS BY USING CONVOLUTION NEURAL NETWORKS
  • Prediction of Coronary Artery Disease from Iris Images Using Local Binary Patterns and Artificial Neural Network
  • Screening and validation of the iris manifestation among patients with hemiplegia – an observational study
  • Pupillary Assessment for the Detection of Ischemic Stroke: Analysis of Multiform Pupil Shapes Using Bexel Irina Software
  • A Deep Learning Approach for Kidney Disease Recognition and Prediction through Image Processing

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