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Renal Failure Volume 45, 2023 - Issue 1
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Research Article

Machine learning algorithm to predict the in-hospital mortality in critically ill patients with chronic kidney disease

Xunliang Lia Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;b Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of ChinaView further author information
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Yuyu Zhua Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;b Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of ChinaView further author information
,
Wenman Zhaoa Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;b Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0001-9846-242XView further author information
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Rui Shia Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;b Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of ChinaView further author information
,
Zhijuan Wanga Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;b Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of ChinaView further author information
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Haifeng Panb Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;c Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, People’s Republic of China;d Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Hefei, People’s Republic of ChinaCorrespondence[email protected]
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Deguang Wanga Department of Nephrology, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of China;b Institute of Kidney Disease, Inflammation & Immunity Mediated Diseases, The Second Affiliated Hospital of Anhui Medical University, Hefei, People’s Republic of ChinaCorrespondence[email protected]
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Article: 2212790 | Received 25 Oct 2022, Accepted 05 May 2023, Published online: 19 May 2023

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