Machine learning models for risk prediction of age-related macular degeneration in Fujian eye study
This study confirms that logistic regression is the most effective machine learning model for predicting AMD risk, with educational background identified as the most critical risk factor.
Authors
- Yang Li (ORCID: https://orcid.org/0000-0002-4638-3540)
- Qinrui Hu (ORCID: https://orcid.org/0000-0003-0185-4537)
- Xiangdong Luo (ORCID: https://orcid.org/0000-0001-6466-7144)
- Bin Wang (ORCID: https://orcid.org/0000-0002-2712-9045)
- Xiaoxin Li (ORCID: https://orcid.org/0000-0003-0536-2951)
- Mingqin Zhang (ORCID: https://orcid.org/0009-0008-7273-9302)
Institutions
- Xiamen University (CN)
- Peking University (CN)
- Xiamen Municipal Bureau of Science and Technology (CN)
- Peking University People's Hospital (CN)
- Xiamen Blood Center (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2025-11-04
- DOI
- https://doi.org/10.1371/journal.pone.0335620
- Primary Topic
- Retinal Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00