• G..PARY
• DR.M.ARAMUDHAN
• Dr.N.THIRUMOORTHY

ABSTRACT: This paper considered the retinal images and to detect the Diabetic retinopathy disease is either affected the eye or not using data mining technique. Th early detection of Diabetic retinopathy disease from retinal images are to help the ophthalmologist to be diagnosed to detect diabetic retinopathy by using data mining techniques such as Support Vector Machine, page rank, Random forest Algorithm, means and Apriori algorithm and also It supports for future implementation to know the people of their Diabetic retinopathy disease condition from any ATM machine.

Keywords: Diabetic retinopathy, mean, standard deviation and entropy, Gray level co-occurrence. Support Vector Machine, page ranking, random forest Algorithm, K means and Apriori algorithm

"MEDICAL DIAGNOSIS SYSTEM FOR THE DETECTION OF DIABETES RETINOPATHY BASED ON RETINAL IMAGES USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.594-603, December-2018, Available :http://www.jetir.org/papers/JETIR1812083.pdf

"MEDICAL DIAGNOSIS SYSTEM FOR THE DETECTION OF DIABETES RETINOPATHY BASED ON RETINAL IMAGES USING DATA MINING TECHNIQUES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp594-603, December-2018, Available at : http://www.jetir.org/papers/JETIR1812083.pdf