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    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 by Shingo Fukuma, Yukio Yuzawa, Daijo Inaguma, Hiroki Hayashi, Ryosuke Yanagiya, Akira Koseki, Toshiya Iwamori, Michiharu Kudo

    Published 2022-06-01
    “…We aimed to identify clusters of patients with extremely rapid eGFR decline and develop a prediction model using a machine learning approach.Design Retrospective single-centre cohort study.Settings Tertiary referral university hospital in Toyoake city, Japan.Participants A total of 5657 patients with CKD with baseline eGFR of 30 mL/min/1.73 m2 and eGFR decline of ≥30% within 2 years.Primary outcome Our main outcome was extremely rapid eGFR decline. …”
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