Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms
The Random Forest model for predicting response to anti-VEGF therapy in neovascular AMD using SHAP algorithm proved to be feasible and effective. OCTA imaging features, such as fractal dimension, total number of end points et al., were the most effective predictive factors.
Authors
- Qingli Shang (ORCID: https://orcid.org/0000-0002-8568-6683)
- Jialiang Duan (ORCID: https://orcid.org/0000-0002-5578-7459)
- Jing Su (ORCID: https://orcid.org/0000-0001-5389-734X)
- Caixia Wang (ORCID: https://orcid.org/0000-0002-2872-1227)
- Xuejing Li (ORCID: https://orcid.org/0000-0001-7145-7225)
- Peng Zhang (ORCID: https://orcid.org/0000-0002-6537-8261)
Institutions
- Hebei Medical University (CN)
- Second Hospital of Hebei Medical University (CN)
Publication Details
- Journal
- Photodiagnosis and Photodynamic Therapy
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1016/j.pdpdt.2025.104635
- Citations
- 7
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 9.52