Journal article Open Access

Knowledge based Expert System for Predicting Diabetic Retinopathy using Machine Learning Algorithms

J.Jayashree; Sruthi R; Ponnamanda Venkata Sairam; J.Vijayashree

Sponsor(s)
Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)

Diabetic retinopathy (DR) is a medical condition that can affect the patient's retina and cause leaks in the blood due to diabetes mellitus. The increase in cases of diabetes limits existing manual testing capability. Today new algorithms are becoming very important for assisted diagnosis. Effective diabetes diagnosis can benefit the victims and reduce the negative harmful effects, including blindness. If not treated in a timely manner, this disorder can cause different symptoms from mild vision problems to total blindness. Early signs of DR are the hemorrhages, hard exudates, and micro-aneurysms (HEM) that occur in the retina. Timely diagnosis of HEM is important for avoiding blindness This paper presents PSO feature selection algorithms with three classifications for the detection of Diabetic retinopathy using python.

Files (990.5 kB)
Name Size
C6397029302 (1).pdf
md5:ba1275910d4ad1cabe0367b7b60abbac
990.5 kB Download
20
6
views
downloads
Views 20
Downloads 6
Data volume 5.9 MB
Unique views 19
Unique downloads 5

Share

Cite as