Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods

Discovering Optimal Algorithm to Predict Diabetic Retinopathy using Novel Assessment Methods

Diabetic retinopathy is a diabetes complication that effects eyes. It disrupts the vasculature of the sensitive tissue present atthe back of the eye. If this complication is untreated it may lead to blindness. The aim of this work is to train a model thatefficiently predicts diabetic retinopathy. Ma...

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Bibliographic Details
Main Authors:	Shiva Reddy, Nilambar Sethi, R. Rajender
Format:	Article
Language:	English
Published:	European Alliance for Innovation (EAI) 2021-01-01
Series:	EAI Endorsed Transactions on Scalable Information Systems
Subjects:	diabetic retinopathy random forest decision tree adaptive boosting bagging support vector machine (svm) using gaussian kernel (gk) accuracy youden’s j index concordance somers’ d statistic and balanced accuracy
Online Access:	https://eudl.eu/pdf/10.4108/eai.13-7-2018.165505

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