[Personalized glycemic management for patients with diabetic ketoacidosis based on machine learning].

Journal: Zhonghua wei zhong bing ji jiu yi xue
PMID: 38991964

Abstract

OBJECTIVE: To explore the optimal blood glucose-lowering strategies for patients with diabetic ketoacidosis (DKA) to enhance personalized treatment effects using machine learning techniques based on the United States Critical Care Medical Information Mart for Intensive Care- IV (MIMIC- IV).

Authors

  • Ruirui Wang
    School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng, 252059, China.
  • Lijuan Wu
    Big Data Decision Institute, Jinan University, Guangzhou, China.
  • Huixian Li
  • Xin Li
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.

Keywords

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