Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52837, first published .
Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study

Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study

Personalized Prediction of Long-Term Renal Function Prognosis Following Nephrectomy Using Interpretable Machine Learning Algorithms: Case-Control Study

Lingyu Xu   1 , PhD ;   Chenyu Li   1, 2 , PhD ;   Shuang Gao   3 , PhD ;   Long Zhao   1 , PhD ;   Chen Guan   1 , PhD ;   Xuefei Shen   1 , PhD ;   Zhihui Zhu   4 , PhD ;   Cheng Guo   5 , PhD ;   Liwei Zhang   6 , PhD ;   Chengyu Yang   1 , PhD ;   Quandong Bu   1 , MSM ;   Bin Zhou   1 , PhD ;   Yan Xu   1 , PhD

1 Department of Nephrology, The Affiliated Hospital of Qingdao University, Qingdao, China

2 Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Munich, Germany

3 Ocean University of China, Qingdao, CN, Qingdao, China

4 Center of Structural Heart Disease, Beijing Anzhen Hospital, Capital Medical University, Beijing, China

5 Allianz Technology, Allianz, Munich, Germany

6 Institute of Diabetes and Regeneration Research, Helmholtz Diabetes Center, Helmholtz Center Munich, Neuherberg, Germany

Corresponding Author:

  • Yan Xu, PhD
  • Department of Nephrology, The Affiliated Hospital of Qingdao University
  • 16 Jiangsu Road
  • Qingdao, 266003
  • China
  • Phone: 86 0532 82911668
  • Email: xuyan@qdu.edu.cn