INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Diagnosis of Diabetic Retinopathy Using Machine Learning Techniques
Authors Name:
Sabahath Saimeen
, Akshaya N. A , Astra Natasha , Shrishti Kumari , Suryakanth B
Unique Id:
IJSDR2206101
Published In:
Volume 7 Issue 7, July-2022
Abstract:
The World Health Organization has prophesied that by 2030, there will be around 366 million individuals with diabetes around the world. Various inconveniences happen because of diabetes. Some of them are cardiovascular infection, neuropathy, nephropathy, retinopathy, skin harms, hearing afflictions and others. Universally, diabetic retinopathy has now turned into the fifth commonest reason for visual impairment around the world. Early location of diabetic retinopathy (DR) is essential to forestall vision misfortune and visual impairment. Manual discovery of diabetic retinopathy is a dreary errand. PC - supported framework improves on the work. This can likewise be utilized as a screening device in clinical camps.
"Diagnosis of Diabetic Retinopathy Using Machine Learning Techniques ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 7, page no.632 - 636, July-2022, Available :http://www.ijsdr.org/papers/IJSDR2206101.pdf
Downloads:
000346992
Publication Details:
Published Paper ID: IJSDR2206101
Registration ID:200789
Published In: Volume 7 Issue 7, July-2022
DOI (Digital Object Identifier):
Page No: 632 - 636
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
Facebook Twitter Instagram LinkedIn