Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51354, first published .
Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Machine Learning for Predicting Risk and Prognosis of Acute Kidney Disease in Critically Ill Elderly Patients During Hospitalization: Internet-Based and Interpretable Model Study

Mingxia Li   1, 2 * , PhD ;   Shuzhe Han   3 * , MM ;   Fang Liang   4 , MD ;   Chenghuan Hu   1 , MD ;   Buyao Zhang   1 , MM ;   Qinlan Hou   1 , MM ;   Shuangping Zhao   1, 5, 6 , MD

1 Department of Critical Care Medicine, Xiangya Hospital of Central South University, Changsha, China

2 Department of Critical Care Medicine, ZhuJiang Hospital of Southern Medical University, Guangzhou, China

3 Department of Obstetrics and Gynecology, 967th Hospital of the Joint Logistics Support Force of the Chinese People's Liberation Army, Dalian, China

4 Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital, Central South University, Changsha, China

5 National Clinical Research Center for Geriatric Disorders, Changsha, China

6 Hunan Provincial Clinical Research Center of Intensive Care Medicine, Changsha, China

*these authors contributed equally

Corresponding Author:

  • Shuangping Zhao, MD
  • Department of Critical Care Medicine
  • Xiangya Hospital of Central South University
  • No 87, Xiangya Road, Kaifu District
  • Changsha, 410008
  • China
  • Phone: 86 1397495302
  • Email: zhshping@csu.edu.cn