Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction

Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction

Diabetic Retinopathy (DR) is a condition that emerges from prolonged diabetes, causing severe damages to the eyes. Early diagnosis of this disease is highly imperative as late diagnosis may be fatal. Existing studies employed machine learning approaches with Support Vector Machines (SVM) having the...

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Bibliographic Details
Main Authors: Tamunopriye Ene Dagogo-George, Hammed Adeleye Mojeed, Abdulateef Oluwagbemiga Balogun, Modinat Abolore Mabayoje, Shakirat Aderonke Salihu
Format: Article
Language:English
Published: Diponegoro University 2020-10-01
Series:Jurnal Teknologi dan Sistem Komputer
Subjects:
machine learning
ensemble learning
diabetic retinopathy
decision trees
Online Access:https://jtsiskom.undip.ac.id/index.php/jtsiskom/article/view/13669

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