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