Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms

Predicting response to anti-VEGF therapy in neovascular age-related macular degeneration using random forest and SHAP algorithms

Purpose: This study aimed to establish and validate a prediction model based on machine learning methods and SHAP algorithm to predict response to anti-vascular endothelial growth factor (VEGF) therapy in neovascular age-related macular degeneration (AMD). Methods: In this retrospective study, we ex...

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Bibliographic Details
Main Authors: Peng Zhang, Jialiang Duan, Caixia Wang, Xuejing Li, Jing Su, Qingli Shang
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Photodiagnosis and Photodynamic Therapy
Subjects:
Response
Age-related macular degeneration
Machine learning
Random forest
SHAP
OCT
Online Access:http://www.sciencedirect.com/science/article/pii/S157210002500167X
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