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For: Inaguma D, Hayashi H, Yanagiya R, Koseki A, Iwamori T, Kudo M, Fukuma S, Yuzawa Y. Development of a machine learning-based prediction model for extremely rapid decline in estimated glomerular filtration rate in patients with chronic kidney disease: a retrospective cohort study using a large data set from a hospital in Japan. BMJ Open 2022;12:e058833. [PMID: 35680264 PMCID: PMC9185577 DOI: 10.1136/bmjopen-2021-058833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]  Open
Number Cited by Other Article(s)
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Khalid F, Alsadoun L, Khilji F, Mushtaq M, Eze-Odurukwe A, Mushtaq MM, Ali H, Farman RO, Ali SM, Fatima R, Bokhari SFH. Predicting the Progression of Chronic Kidney Disease: A Systematic Review of Artificial Intelligence and Machine Learning Approaches. Cureus 2024;16:e60145. [PMID: 38864072 PMCID: PMC11166249 DOI: 10.7759/cureus.60145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/12/2024] [Indexed: 06/13/2024]  Open
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Saito H, Yoshimura H, Tanaka K, Kimura H, Watanabe K, Tsubokura M, Ejiri H, Zhao T, Ozaki A, Kazama S, Shimabukuro M, Asahi K, Watanabe T, Kazama JJ. Predicting CKD progression using time-series clustering and light gradient boosting machines. Sci Rep 2024;14:1723. [PMID: 38242985 PMCID: PMC10798962 DOI: 10.1038/s41598-024-52251-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Accepted: 01/16/2024] [Indexed: 01/21/2024]  Open
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