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Development of a machine learning-based prediction model fo..:
Shingo Fukuma
;
Yukio Yuzawa
;
Daijo Inaguma
...
https://bmjopen.bmj.com/content/12/6/e058833.full. , 2022
Link:
https://doi.org/10.1136/bmjopen-2021-058833
RT Journal T1
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
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:74b214f1ae914c51835ea9655dad5978&Exemplar=1&LAN=DE A1 Shingo Fukuma A1 Yukio Yuzawa A1 Daijo Inaguma A1 Hiroki Hayashi A1 Ryosuke Yanagiya A1 Akira Koseki A1 Toshiya Iwamori A1 Michiharu Kudo PB BMJ Publishing Group YR 2022 K1 Medicine K1 R JF https://bmjopen.bmj.com/content/12/6/e058833.full LK http://dx.doi.org/https://doi.org/10.1136/bmjopen-2021-058833 DO https://doi.org/10.1136/bmjopen-2021-058833 SF ELIB - SuUB Bremen
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