A risk prediction model for neovascular glaucoma secondary to proliferative diabetic retinopathy based on Boruta feature selection and random forest
The Boruta-guided random forest model developed in this study exhibits excellent predictive performance and clinical applicability for assessing NVG risk in PDR patients.
Authors
- Zhichao Yan (ORCID: https://orcid.org/0000-0003-1442-3015)
- Kuanrong Dang
- Chenchen Zhang (ORCID: https://orcid.org/0000-0003-0458-6232)
- Jiantao Wang (ORCID: https://orcid.org/0009-0009-9571-7082)
- Zihan Huang (ORCID: https://orcid.org/0000-0003-3094-9017)
- Di Gong (ORCID: https://orcid.org/0000-0002-7743-8460)
- Cuicui Tang
- Xiaoyan Chai
- Jinghui Wang (ORCID: https://orcid.org/0009-0009-4368-2236)
Institutions
- General Hospital of Guangzhou Military Command (CN)
- Southern Medical University Shenzhen Hospital (CN)
- He Eye Hospital (CN)
- Shandong Eye Hospital (CN)
- First Affiliated Hospital of Jinan University (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-06-27
- DOI
- https://doi.org/10.3389/fcell.2025.1604832
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00