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

Journal: Photodiagnosis and photodynamic therapy
Published Date: Jun 1, 2025

Abstract

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).

Authors

  • Peng Zhang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Jialiang Duan
    The Second Hospital of Hebei Medical University, 215 Heping Road, Shijiazhuang, Hebei Province, China.
  • Caixia Wang
    Division of Nephrology, Department of Internal Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510630, China.
  • Xuejing Li
    Department of Rehabilitation Medicine, The Affiliated Huaian Hospital of Xuzhou Medical University, Huai'an, Jiangsu, China.
  • Jing Su
    Indiana University School of Medicine.
  • Qingli Shang
    The Second Hospital of Hebei Medical University, 215 Heping Road, Shijiazhuang, Hebei Province, China. shangqingli2020@163.com.

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