Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41142, first published .
Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study

Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study

Machine Learning–Based Prediction of Acute Kidney Injury Following Pediatric Cardiac Surgery: Model Development and Validation Study

Xiao-Qin Luo   1 * , MD ;   Yi-Xin Kang   1 * , MD ;   Shao-Bin Duan   1 , MD ;   Ping Yan   1 , MD ;   Guo-Bao Song   2 , MD ;   Ning-Ya Zhang   3 , MS ;   Shi-Kun Yang   4 , MD ;   Jing-Xin Li   5 , MD ;   Hui Zhang   6 , MD

1 Department of Nephrology, The Second Xiangya Hospital of Central South University, Changsha, China

2 Department of Cardiovascular Surgery, The Second Xiangya Hospital of Central South University, Changsha, China

3 Information Center, The Second Xiangya Hospital of Central South University, Changsha, China

4 Department of Nephrology, The Third Xiangya Hospital of Central South University, Changsha, China

5 Department of Cardiovascular Surgery, Xiangya Hospital of Central South University, Changsha, China

6 Department of Pediatrics, Xiangya Hospital of Central South University, Changsha, China

*these authors contributed equally

Corresponding Author:

  • Shao-Bin Duan, MD
  • Department of Nephrology
  • The Second Xiangya Hospital of Central South University
  • 139 Renmin Road
  • Changsha, 410011
  • China
  • Phone: 86 731-85295100
  • Email: duansb528@csu.edu.cn