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
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No 87, Xiangya Road, Kaifu District
-
Changsha, 410008
-
China
-
Phone:
86 1397495302
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Email: zhshping@csu.edu.cn