click here to download project abstract/base paper diabetic retinopathy
ABSTRACT
Diabatic Retinopathy (DR) is one of the leading cause of sight inefficiency for diabetic patients. The clinical diagnostic results and several outcome of eye testing methods reviled a set of observations that eases the decision making in the case of diabetic retinopathy for the doctor, therapist. Machine learning, a branch of artificial intelligence is applied in clinical data analytic as it can detect patterns in data, and then use these uncovered patterns to predict future data or perform some kind of decision making under uncertainty. In case of DR finding the co-relation between the depth of affection and the clinical result is very much critical, as several parameters are need to be taken into consideration for optimal decision making by the therapist. In this paper we have reviewed the performance of a set of machine learning algorithms and verify their performance for a particular DR data set.
INTRODUCTION
(DR) is a diabetic eye disease which affects light sensitive tissues like Retina, that lines the back of the eye. It is a common cause of vision loss among people with diabetes and one of the leading causes of blindness among the working age adults. It actually refers to retinal changes in patients suffering with diabetes mellitus. With increase in the life expectancy of diabetes, the incidence of Diabetic Retinopathy has also increased. This is a leading cause of blindness. This disease is also known as diabetic eye disease. This affects the retinal blood vessels and causes them to bleed or leak fluids, thus distorting the vision. Diabetic Molecular Edema is a consequence of Diabetic Retinopathy causes the swelling in the are of the retina called the Macula. Thus early detection, timely treatment and follow up care is essential to protect against vision loss. Poor metabolic control is less important than duration, but is nevertheless relevant to the development and progression of Diabetic Retinopathy. Sex ratio is more in female than in males (4:3). Pregnancy may accelerate the changes in of DR. Hypertension, when associated may accelerate the changes of diabetic Retinopathy. Other risk factors includes smoking, anemia, obesity and hyperlipidemia.
