Home > Engineering > Electronics & Communication Engineering > Volume-4 > Issue-5 > Fuzzy Based Decision Making System for the Detection of Diabetic Retinopathy

Fuzzy Based Decision Making System for the Detection of Diabetic Retinopathy

Call for Papers

Volume-8 | Issue-3

Last date : 26-Jun-2024

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

First Update : Within 7 Days after submittion

Submit Paper Online

For Author

Research Area


Fuzzy Based Decision Making System for the Detection of Diabetic Retinopathy


Ratish | Neeru Malhotra | Vishav Kapoor



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, pp.72-76, URL: https://www.ijtsrd.com/papers/ijtsrd30325.pdf

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.

Fuzzy Expert System, Diabetic Retinopathy, FIS


IJTSRD30325
Volume-4 | Issue-5, August 2020
72-76
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin