Open AccessMachine Learning Approaches on Diabetic Retinopathy Prediction
Author(s) -
G. V. S. N. R. V. Prasad,
Vrinda Raveendran,
Sri Vidya B M,
Tejavati Hedge
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206377
Subject(s) - diabetic retinopathy , blindness , computer science , artificial intelligence , machine learning , disease , retinopathy , blood sugar , process (computing) , medicine , diabetes mellitus , optometry , endocrinology , operating system
Diabetic retinopathy is a eye disorder which is developed due to high blood sugar that affects the neurons in retina. A dangerous fact about this disease is that it can lead to blindness. The possible cure is through detection of disease at early age. This can be done using different machine learning algorithms. This paper does a comparative study on different machine learning algorithms that can be used for early detection of diabetic retinopathy. This study is done to find out the most efficient algorithm suitable for the process and to increase the efficiency of the particular algorithm.