A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008–2012, 2017–2021)

A machine learning-based prediction of diabetic retinopathy using the Korea national health and nutrition examination survey (2008–2012, 2017–2021)

BackgroundMachine learning technology that uses available clinical data to predict diabetic retinopathy (DR) can be highly valuable in medical settings where fundus cameras are not accessible.ObjectiveThis study aimed to develop and compare machine learning algorithms for predicting DR without fundu...

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Bibliographic Details
Main Authors: Min Seok Kim, Young Wook Choi, Borghare Shubham Prakash, Youngju Lee, Soo Lim, Se Joon Woo
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
diabetic retinopathy
machine learning
random forest algorithms
Korea
prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1542860/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1542860/full

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