A machine learning model for predicting acute kidney injury secondary to severe acute pancreatitis
Chin Med J (Engl)
.
2024 Mar 5;137(5):619-621.
doi: 10.1097/CM9.0000000000003027.
Epub 2024 Feb 6.
Authors
Wanyue Zhang
1
,
Yongjian Chang
2
,
Cuie Cheng
3
,
Xiaodan Zhao
4
,
Xiajiao Tang
4
,
Fenying Lu
3
,
Yanli Hu
5
,
Chunying Yang
6
,
Yuan Ding
1
,
Ruihua Shi
1
4
Affiliations
1
School of Medicine, Southeast University, Nanjing, Jiangsu 210009, China.
2
School of Cyber Science and Engineering, Southeast University, Nanjing, Jiangsu 210009, China.
3
Department of Gastroenterology, Changshu No. 2 People's Hospital, Changshu, Jiangsu 215500, China.
4
Department of Gastroenterology, Zhongda Hospital, Southeast University, Nanjing, Jiangsu 210009, China.
5
Department of Gastroenterology, Pizhou People's Hospital, Xuzhou, Jiangsu 221300, China.
6
Department of Gastroenterology, Pizhou Hospital of Traditional Chinese Medicine, Xuzhou, Jiangsu 221300, China.
PMID:
38317516
PMCID:
PMC10932524
DOI:
10.1097/CM9.0000000000003027
No abstract available
MeSH terms
Acute Disease
Acute Kidney Injury* / diagnosis
Acute Kidney Injury* / etiology
Humans
Kidney
Machine Learning
Pancreatitis* / diagnosis
Pancreatitis* / etiology
Retrospective Studies