Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

Journal: Renal failure
Published Date: Dec 1, 2022

Abstract

BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI and increases short-term mortality. However, there are no studies on the prognosis of AKD in the elderly.

Authors

  • Mingxia Li
    Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Qinghe Zhuang
    School of Computer Science and Engineering, Central South University, Changsha, China.
  • Shuangping Zhao
    Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Li Huang
    National Research Center for Resettlement (NRCR), Hohai University, 1 Xikang Road, Nanjing 210098, China. lily8214@hhu.edu.cn.
  • Chenghuan Hu
    Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Buyao Zhang
    Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.
  • Qinlan Hou
    Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China.

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