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Renal Failure Volume 44, 2022 - Issue 1
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Clinical Study

Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease

Mingxia Lia Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, ChinaORCID Iconhttps://orcid.org/0000-0001-6567-6632View further author information
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Qinghe Zhuangb School of Computer Science and Engineering, Central South University, Changsha, ChinaView further author information
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Shuangping Zhaoa Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, China;c National Clinical Research Center for Geriatric Disorders, Changsha, China;d Hunan Provincial Clinical Research Center of Intensive Care Medicine, Changsha, ChinaCorrespondence[email protected]
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Li Huanga Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, ChinaView further author information
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Chenghuan Hua Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, ChinaView further author information
,
Buyao Zhanga Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, ChinaView further author information
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Qinlan Houa Department of Critical Care Medicine, Xiangya Hospital Central South University, Changsha, ChinaView further author information
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Pages 1896-1906 | Received 23 Aug 2022, Accepted 24 Oct 2022, Published online: 07 Nov 2022

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