Author Archive:

Abstract

Computers are now able to play a role in the diagnostic process for diabetes patients because of developments in the disciplines of medical imaging and information technology. It is difficult to reduce death rates to more reasonable levels by employing early and precise detection approaches. When seeking to identify risk factors for complications, acute and long-term difficulties, mortality, and medical care expenses, data on the prevalence and incidence of diabetes and prediabetes is important. The International Diabetes Federation estimates the occurrence of diabetes based on the present status and prevalence of diabetes worldwide. In addition, variables, such as physiological markers, that may have a role in the development of diabetes are investigated. Complementary and alternative methods, especially iris-based diagnostics, have made significant advances in the identification of diabetes and associated disorders. Diabetes is a leading cause of renal failure globally. It raises the likelihood of heart and blood vessel problems. Diabetic kidney disease is [...]

Abstract:

The pseudoscience known as iridology makes the unsubstantiated claim that it can identify medical disorders by examining the iris, the colored portion of the eye. Iridology does not provide a reliable means of diagnosis, and there is no scientific proof to back up its claims. To find patterns that are connected to particular medical conditions, computerized iris analysis software may need to examine thousands of iris images. A method of iridology known as Computer-Aided Iridology (CAI) uses software to study the iris. CAI still is not a medically accepted diagnostic technique and is not any more trustworthy than conventional iridology. Applying technology in medical science had a great impact on diagnosing diseases. Decision making is the most critical task in computer-aided applications. Computer vision and deep learning make this task more accurate and are widely used in many applications, mainly in diagnosing diseases. The methodologies, data acquisition source,
and volume of data used [...]

ABSTRACT

Introduction: The iridologists use iris diagrams, dividing the iris of the eye into 12 hours. Bulgaria also has a tradition of studying the iris, for example Peter Dimkov and his work “Ocular Diagnosis. A Practical Guide”.  However, according to most reputable international publications, “Iridology is not supported by any published studies and is considered a pseudoscience to most
physicians.”

Aim: To study the awareness of the population and the opinion of medical specialists on the issue of iris diagnostics in Bulgaria.

Materials and Methods: It’s a survey design, conducted at Eye Clinic “St. Nikolay”, over a period of 3 months: May – July 2023.

Results: A total of 300 participants were surveyed, including 123 medical professionals. The female respondents are more – 81.5%, about 90% are active population aged 20-60 years. Most respondents – 68.1% don’t know where such examinations are performed. The majority don‘t even know by who they are done: respectively [...]

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, known as the
Iridology method. The system is designed automatically in the iris detection to the classification results.
Feature extraction using five characteristics is applied to the Gray Level Co-occurrence Matrix (GLCM)
method. The classification process uses the Convolutional Neural Networks (CNN) with linear kernel, to
obtain the best accuracy in the system. From the system simulation results, the use of CNN classification of
iris conditions with an accuracy rate of 98-99%. This study has succeeded in detecting heart conditions
through the [...]

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 the existing studies, the performance of the Local Binary Patterns (YBP) feature extraction method, which was not used in heart disease prediction studies performed with iridology, was analyzed.

In the proposed method, features were extracted from the iris images of a total of 198 volunteers, 94 of whom were in the CAD and 104 in the Control group, and the classification was performed using the Artificial Neural Network (ANN). The Integral Differential Operator was used to find the iris positions in the image and the Rubber Sheet Normalization methods were used to convert [...]

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 image was captured by Angel Kiss New 5.0MP Iridology Camera with Pro Iris Analysis Software. Lesion characters, such as open lesion, closed lesion, spot, furrow, radii solaris, intestinal crypts etc., in the iris were noted along with its various characteristics in an excel sheet in numerical order for analysis.

Results

Majority of the included patients were male (n=30) and the mean age of the patients was 46 years. The most common iris lesions noted were radii solaris and intestinal crypt in the cerebrum and cerebellum regions. Other notable lesions include open lesion, [...]

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 with an annual mortality rate of about 5.5 million. Three types of ischemic strokes include Ischemic stroke, hemorrhagic stroke and Transient ischemic attack (TIA).

The World Stroke Organization reports that there are more than 12.2 million new strokes annually worldwide, and one in four individuals over the age of 25 will experience a stroke during their lifetime.

Pupil assessment has been proposed as a potential diagnostic tool for ischemic stroke, as changes in pupil size, shape, and response to light can indicate neurological impairment.

Research Objectives

The aim of this study is to [...]

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 technique inspired by the learning process. Artificial intelligence has the potential to make many things in the world seem possible, even causing surprise with its capabilities. Some doctors are looking forward to advancements in technology that can scan a patient’s body and analyse their diseases. In this regard, advanced machine learning algorithms have been developed to detect the presence of kidney disease. This research presents a novel deep learning model, which combines a fuzzy deep neural network, for the recognition and prediction of kidney disease. The results show that the proposed model has [...]

Abstract

The World Health Organization (WHO) report shows that Heart disease is the major
cause 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 people
die every year from diabetes estimated 6.61% of all deaths worldwide. The Heart and Pancreas
organ play a most important role in human being. The blood flows in all parts of the body
through heart. The function of pancreas is to regulate maintain the insulin levels that is respon-
sible for diabetes. The detection of heart disease and diabetes takes too much time and very
costly process. In our research, we develop a Heart Disease and Diabetes Identification System
based on Iris Healthcare [...]