Explainable machine learning algorithm to predict cardiovascular event in patients undergoing peritoneal dialysis.

Journal: BMC medical informatics and decision making
PMID: 40264140

Abstract

OBJECTIVE: To compare the performance of predictive models for cardiovascular event (CVE) in patients undergoing peritoneal dialysis (PD) based on machine learning algorithm and Cox proportional hazard regression.

Authors

  • Qiqi Yan
    Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Guiling Liu
    Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Ruifeng Wang
    Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230037, China.
  • Dandan Li
    School of Medicine, Yangtze University, Jingzhou 434000, China.
  • Xiaoli Chen
    Novo Nordisk Research Centre China, Beijing, China.
  • Jingjing Cong
    Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Deguang Wang
    Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China. wangdeguang@ahmu.edu.cn.

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