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Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.

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Title: Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.
Authors: Chen Y; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China., Huang S; Ping An Healthcare Technology, Beijing, China., Chen T; Ping An Healthcare Technology, Beijing, China., Liang D; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China., Yang J; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China., Zeng C; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China., Li X; Ping An Healthcare Technology, Beijing, China., Xie G; Ping An Healthcare Technology, Beijing, China.; Ping An Health Cloud Co. Limited, Beijing, China.; Ping An International Smart City Technology Co, Beijing, China., Liu Z; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China, liuzhihong@nju.edu.cn.
Source: American journal of nephrology [Am J Nephrol] 2021; Vol. 52 (2), pp. 152-160. Date of Electronic Publication: 2021 Mar 19.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Validation Study
Journal Info: Publisher: Karger Country of Publication: Switzerland NLM ID: 8109361 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1421-9670 (Electronic) Linking ISSN: 02508095 NLM ISO Abbreviation: Am J Nephrol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.
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  Data: <searchLink fieldCode="AU" term="%22Chen+Y%22">Chen Y</searchLink>; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Huang+S%22">Huang S</searchLink>; Ping An Healthcare Technology, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Chen+T%22">Chen T</searchLink>; Ping An Healthcare Technology, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Liang+D%22">Liang D</searchLink>; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Yang+J%22">Yang J</searchLink>; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Zeng+C%22">Zeng C</searchLink>; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.<br /><searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; Ping An Healthcare Technology, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Xie+G%22">Xie G</searchLink>; Ping An Healthcare Technology, Beijing, China.; Ping An Health Cloud Co. Limited, Beijing, China.; Ping An International Smart City Technology Co, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Liu+Z%22">Liu Z</searchLink>; National Clinical Research Centre of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China, liuzhihong@nju.edu.cn.
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              Text: 2021
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