Abstract

Diabetes Mellitus (DM) is a metabolic disorder gets great high impact on human life in recent years. The WHO has estimated that the number of diabetes in the world by 2025 may reach up to 60 million and India's contribution would be 30 million. Recent report says that one fifth of Asian countries, most lives are lost due to non-communicable diseases like cardiovascular disease, Cancer and Diabetes. Preventing the disease of diabetes is an ongoing area of interest to the healthcare community. Long term complications of DM patients' includes; Retinopathy (Disease affecting human eye/ retina), Neuropathy (Neuro-deficit problems/Nerve Damages), Nephropathy (Chronic kidney failure), Gastropathy, Cardiovascular disease (Heart attack), Cerebrovascular disease (Parkinson's disease, Stroke), Foot ulcers and Premature death. Diabetes Retinopathy (DR) is retinopathy, it only affects people who have had diabetes for a long time period and can result in blindness/loss of vision. The sight-threatening stages of DR can be broadly classified as Non-Proliferative Diabetic Retinopathy (NPDR), and Proliferative Diabetic Retinopathy (PDR). This study presents the DR patients' prevention and detecting the retinal images in early stages, can be treated more easily and clinically. A study by Indian Council for Medical Research (ICMR's) INDIAB (India Diabetes) confirmed that one out of 10 people in Tamilnadu are diabetic, and every two adults in a group of 25 are in the pre-diabetic stage. From this study, it is mandatory on clinical research to screen the diabetes patients in the line of retinopathy. MATLAB – classifier predicts the high accuracy level of retinal images classification out of three stages in non-proliferative retinopathy.

Keywords
Diabetic Mellitus, Retinopathy, Classifier, Non-proliferative, Retinal Images, Transformation, Healthcare

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