A risk prediction model for neovascular glaucoma secondary to proliferative diabetic retinopathy based on Boruta feature selection and random forest

A risk prediction model for neovascular glaucoma secondary to proliferative diabetic retinopathy based on Boruta feature selection and random forest

BackgroundNeovascular glaucoma (NVG) is one of the most severe complications of proliferative diabetic retinopathy (PDR), carrying a high risk of blindness. Establishing an effective risk prediction model can assist clinicians in early identification of high-risk patients and implementing personaliz...

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Bibliographic Details
Main Authors: Zihan Huang, Di Gong, Cuicui Tang, Jinghui Wang, Chenchen Zhang, Kuanrong Dang, Xiaoyan Chai, Jiantao Wang, Zhichao Yan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
diabetic retinopathy
random forest
Boruta feature selection
neovascular glaucoma
risk prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2025.1604832/full
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https://www.frontiersin.org/articles/10.3389/fcell.2025.1604832/full

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