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  • [\'Division of Nephrology, Medizinische Klinik I, Transplantationszentrum, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany.\', \'Faculty of Engineering, Competence Centre for Artificial Intelligence, TH Aschaffenburg (University of Applied Sciences), Aschaffenburg, Germany.\', \'Division of Nephrology, Medizinische Klinik I, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany.\', \'Intensive Care Unit, Medizinische Klinik I, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany.\', \'Department of Anaesthesiology and Intensive Care, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany.\']
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?:doi
  • 10.1371/journal.pone.0251932
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  • PloS one
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  • 34015009
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  • COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning.
?:type
?:year
  • 2021

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