Using machine learning to predict the risk of short-term and long-term death in acute kidney injury patients after commencing CRRT.

Journal: BMC nephrology
PMID: 39080581

Abstract

BACKGROUND: The mortality rate and prognosis of short-term and long-term acute kidney injury (AKI) patients who undergo continuous renal replacement therapy (CRRT) are different. Setting up risk stratification tools for both short-term and long-term deaths is highly important for clinicians.

Authors

  • Menglei Gu
    Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Yalan Liu
  • Hongbin Sun
    School of Computer Technology and Engineering, Changchun Institute of Technology, Changchun 130012, China.
  • Haitong Sun
    Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Yufei Fang
    Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Luping Chen
    Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, Nanjing, China.
  • Lu Zhang
    Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States.

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