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Renal Failure Volume 44, 2022 - Issue 1
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Clinical Study

Development and internal validation of machine learning algorithms for end-stage renal disease risk prediction model of people with type 2 diabetes mellitus and diabetic kidney disease

Yutong Zoua Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Lijun Zhaoa Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaORCID Iconhttps://orcid.org/0000-0001-7750-1864View further author information
ORCID Icon,
Junlin Zhanga Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Yiting Wanga Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Yucheng Wua Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Honghong Rena Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Tingli Wanga Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Rui Zhanga Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Jiali Wanga Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Yuancheng Zhaoa Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Chunmei Qina Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Huan Xuc Division of Pathology, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Lin Lic Division of Pathology, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Zhonglin Chaid Department of Diabetes, Central Clinical School, Monash University, Melbourne, AustraliaView further author information
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Mark E. Cooperd Department of Diabetes, Central Clinical School, Monash University, Melbourne, AustraliaView further author information
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Nanwei Tonge Division of Endocrinology, West China Hospital of Sichuan University, Chengdu, ChinaView further author information
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Fang Liua Division of Nephrology, West China Hospital of Sichuan University, Chengdu, China;b Laboratory of Diabetic Kidney Disease, Centre of Diabetes and Metabolism Research, West China Hospital of Sichuan University, Chengdu, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-1121-3004View further author information
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Pages 562-570 | Received 19 Aug 2021, Accepted 16 Mar 2022, Published online: 04 Apr 2022

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Yuancheng Zhao, Lijun Zhao, Yiting Wang, Junlin Zhang, Honghong Ren, Rui Zhang, Yucheng Wu, Yutong Zou, Nanwei Tong & Fang Liu. (2023) The association of plasma NT-proBNP level and progression of diabetic kidney disease. Renal Failure 45:1.
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Articles from other publishers (4)

Kaixin Li, Jiaxi Zhao, Wenjing Yang & Zhibin Ye. (2023) Sleep traits and risk of end-stage renal disease: a mendelian randomization study. BMC Medical Genomics 16:1.
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Sarah E. Gazzard, James van der Wolde, Kotaro Haruhara, John F. Bertram & Luise A. Cullen‐McEwen. (2023) Nephron deficit and low podocyte density increase risk of albuminuria and glomerulosclerosis in a model of diabetes. Physiological Reports 11:2.
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Jingtong Huang, Andrea M. Yeung, David G. Armstrong, Ashley N. Battarbee, Jorge Cuadros, Juan C. Espinoza, Samantha Kleinberg, Nestoras Mathioudakis, Mark A. Swerdlow & David C. Klonoff. (2022) Artificial Intelligence for Predicting and Diagnosing Complications of Diabetes. Journal of Diabetes Science and Technology 17:1, pages 224-238.
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Minhui Zhong, Han Zhang, Chan Yu, Jinxia Jiang & Xia Duan. (2022) Application of machine learning in predicting the risk of postpartum depression: A systematic review. Journal of Affective Disorders 318, pages 364-379.
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