Fuzzy Based Decision Making System for the Detection of Diabetic Retinopathy

Diabetic Retinopathy is disease of eye that causes injury to the retina and it may ultimately lead to absolute loss of sight. Tests which detect the diabetic retinopathy like visual acuity examination, pupil dilation, and Optical Coherence Tomography OCT are time intense and affects patients too. Fuzzy inference based model allows intelligent system to examine the patient and then infers a conclusion. The proposed fuzzy expert model deploys 9 Input Parameters Intra ocular pressure, visual field, glucose level in blood, high density lipoprotein, low density lipoprotein, hemoglobin, Glycated sugar, blood pressure and Triglyceride . In this model, expert system recognizes the normal eye, diabetic retinopathy Severe , diabetic retinopathy moderate and diabetic retinopathy Mild on the behalf of these 9 Parameters. This technique has efficient low computational cost and has comparative outcomes to those of the ophthalmologist having 88 accuracy. Ratish | Neeru Malhotra | Vishav Kapoor "Fuzzy Based Decision Making System for the Detection of Diabetic Retinopathy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30325.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30325/fuzzy-based-decision-making-system-for-the-detection-of-diabetic-retinopathy/ratish