Machine Learning for the Prediction of Acute Kidney Injury in Critically Ill Patients With Coronary Heart Disease: Algorithm Development and Validation.

Journal: JMIR medical informatics
Published Date: May 28, 2025

Abstract

BACKGROUND: Acute kidney injury (AKI) frequently occurs in critically ill patients with coronary heart disease (CHD), and its development markedly elevates mortality rates and prolongs hospitalization duration. Early AKI prediction is crucial for timely intervention and amelioration of patient outcomes.

Authors

  • Yike Li
    Department of Otolaryngology, Bill Wilkerson Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
  • Mingyang Xiao
    The Second Clinical Medical School, Zhengzhou University, Zhengzhou, China.
  • Yaqian Li
    The Second Clinical Medical School, Zhengzhou University, Zhengzhou, China.
  • Lulu Lv
    The Second Clinical Medical School, Zhengzhou University, Zhengzhou, China.
  • Shanshan Zhang
  • Yuhui Liu
    The Second Clinical Medical School, Zhengzhou University, Zhengzhou, China.
  • Juan Zhang
    Guangdong R & D Center for Technological Economy RM. 802, Guangzhou, Guangdong, P.R. China.

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