Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62932, first published .
Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Wei Jiang   1 * , MD ;   Yaosheng Zhang   2 * , BD ;   Jiayi Weng   3 * , BS ;   Lin Song   1 * , MD ;   Siqi Liu   3 * , BS ;   Xianghui Li   1 , MM ;   Shiqi Xu   1 , MM ;   Keran Shi   1 , MM ;   Luanluan Li   1 , MM ;   Chuanqing Zhang   1 , MM ;   Jing Wang   1 , MD ;   Quan Yuan   2 , BM ;   Yongwei Zhang   2 , BM ;   Jun Shao   1 , MM ;   Jiangquan Yu   1 * , PhD ;   Ruiqiang Zheng   1 , MM

1 Department of Critical Care Medicine, Northern Jiangsu People's Hospital Affiliated to Yangzhou University, Yangzhou, China

2 School of Clinical and Basic Medicine, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China

3 School of Economics and Management, Beijing Jiao Tong University, Beijing, China

*these authors contributed equally

Corresponding Author:

  • Ruiqiang Zheng, MM
  • Department of Critical Care Medicine
  • Northern Jiangsu People's Hospital Affiliated to Yangzhou University
  • No. 98 Nantong West Road
  • Yangzhou 225001
  • China
  • Phone: 86 13952721411
  • Email: zhengruiqiang2021@163.com