A machine learning model for predicting worsening renal function using one-year time series data in patients with type 2 diabetes.

Journal: Journal of diabetes investigation
PMID: 39539021

Abstract

BACKGROUND AND AIMS: To prevent end-stage renal disease caused by diabetic kidney disease, we created a predictive model for high-risk patients using machine learning.

Authors

  • Mari Watanabe
    Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Shu Meguro
    Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Kaiken Kimura
    Asahi Kasei Corporation, Tokyo, Japan.
  • Michiaki Furukoshi
    Asahi Kasei Corporation, Tokyo, Japan.
  • Tsuyoshi Masuda
    Asahi Kasei Corporation, Tokyo, Japan.
  • Makoto Enomoto
    Asahi Kasei Corporation, Tokyo, Japan.
  • Hiroshi Itoh
    Division of Nephrology, Endocrinology and Metabolism, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.

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