Machine learning algorithms for diabetic kidney disease risk predictive model of Chinese patients with type 2 diabetes mellitus.

Journal: Renal failure
PMID: 40195601

Abstract

BACKGROUND: Diabetic kidney disease (DKD) is a common and serious complication of diabetic mellitus (DM). More sensitive methods for early DKD prediction are urgently needed. This study aimed to set up DKD risk prediction models based on machine learning algorithms (MLAs) in patients with type 2 DM (T2DM).

Authors

  • Lu-Xi Zou
    School of Management, Xuzhou Medical University, Xuzhou, Jiangsu, China.
  • Xue Wang
    Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening Biology Institute, Qilu University of Technology (Shandong Academy of Sciences) Jinan China.
  • Zhi-Li Hou
    Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, Jiangsu, China.
  • Ling Sun
  • Jiang-Tao Lu
    Department of Information, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, Jiangsu, China.

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