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International Journal of Scientific Development and Research - IJSDR
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Paper Title: Risk Level Prediction System of Diabetic Retinopathy Using Classification Algorithms
Authors Name: Dr.V.Ramesh , R.Padmini
Unique Id: IJSDR1706065
Published In: Volume 2 Issue 6, June-2017
Abstract: Diabetic retinopathy (DR) is a sight threatening complication of systemic diabetes mellitus that results from damage to the blood vessels of the retina. It is one of the most frequent cause of blindness among adults. In the early stage of disease, mostly all patients with type 1 diabetes and >60% of patients with type 2 diabetes have retinopathy. Making medical decisions like diagnosing the diabetic retinopathy is a multifaceted task. The complexity is in recognizing predictive factors associated with the diseases. Even though hospitals are maintaining the clinical data, human cannot process all the data available. Thus there is need for intelligent data analysis techniques like data mining to discover knowledge which supports physicians. The aim of the study is to determine the correlation among the various risk factors of diabetic retinopathy and design a model to predict the risk level of diabetic retinopathy. We compared risk factors between patients having diabetics with and without retinopathy. Collected data are preprocessed for classification of risk level. We found that among different classification algorithms MLP algorithm is suitable to predict the risk factor. A model is designed using .NET platform to predict the risk level of the diabetic retinopathy. The system also suggests some recommendation to take precautionary steps to avoid diabetic retinopathy disease.
Keywords: Classification Algorithms, Data Mining, Diabetic Retinopathy, Multi-layer perception.
Cite Article: "Risk Level Prediction System of Diabetic Retinopathy Using Classification Algorithms", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 6, page no.430 - 435, June-2017, Available :http://www.ijsdr.org/papers/IJSDR1706065.pdf
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Publication Details: Published Paper ID: IJSDR1706065
Registration ID:170559
Published In: Volume 2 Issue 6, June-2017
DOI (Digital Object Identifier):
Page No: 430 - 435
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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