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Renal Failure
Volume 46, 2024 - Issue 1
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Critical Care Nephrology and Continuous Kidney Replacement Therapy
Machine learning-based prediction of in-hospital mortality for critically ill patients with sepsis-associated acute kidney injury
Tianyun Gaoa Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaView further author information
, Zhiqiang Nonga Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaView further author information
, Yuzhen Luoa Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaView further author information
, Manqiu Moa Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaView further author information
, Zhaoyan Chenb Department of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaView further author information
, Zhenhua Yanga Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaView further author information
& Ling Pana Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning City, PR ChinaCorrespondence[email protected]
https://orcid.org/0000-0003-3730-1176View further author information
show allhttps://orcid.org/0000-0003-3730-1176View further author information
Article: 2316267
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Received 23 Nov 2023, Accepted 03 Feb 2024, Published online: 18 Feb 2024
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