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

Internet

https://eudl.eu/pdf/10.4108/eai.13-7-2018.165505

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