XGBoost model for predicting erectile dysfunction risk after radical prostatectomy: development and validation using machine learning.

Journal: Discover oncology
Published Date: May 19, 2025

Abstract

BACKGROUND: Erectile dysfunction (ED) is a frequent complication following radical prostatectomy, significantly affecting patients' quality of life. Traditional predictive methods often struggle to capture complex nonlinear risk factors. This study aims to develop a machine learning-based model to improve ED risk stratification and guide personalized management.

Authors

  • Hesong Jiang
    Department of Urology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian City, 223300, Jiangsu Province, China.
  • Lu Ji
  • Leilei Zhu
    Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China. Electronic address: zhuleilei2018@163.com.
  • Hengbing Wang
    Department of Urology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian City, 223300, Jiangsu Province, China. wanghengbing2004@163.com.
  • Fei Mao
    Department of Urology, The Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University, Huaian City, 223300, Jiangsu Province, China. maofeidoctor@njmu.edu.cn.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals