COVID-19 and the kidney: A retrospective analysis of 37 critically ill patients using machine learning

• Anna Laura Herzog ,

  Roles Data curation, Investigation, Methodology, Project administration, Resources, Visualization, Writing – original draft

  * E-mail: Herzog_A1@ukw.de (ALH); Holgervon.Jouanne-Diedrich@th-ab.de (HKVJD)

  Affiliation Division of Nephrology, Medizinische Klinik I, Transplantationszentrum, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany

  https://orcid.org/0000-0002-1767-8964

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• Holger K. von Jouanne-Diedrich ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Writing – review & editing

  * E-mail: Herzog_A1@ukw.de (ALH); Holgervon.Jouanne-Diedrich@th-ab.de (HKVJD)

  Affiliation Faculty of Engineering, Competence Centre for Artificial Intelligence, TH Aschaffenburg (University of Applied Sciences), Aschaffenburg, Germany

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• Christoph Wanner,

  Roles Supervision, Writing – review & editing

  Affiliation Division of Nephrology, Medizinische Klinik I, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany

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• Dirk Weismann,

  Roles Resources

  Affiliation Intensive Care Unit, Medizinische Klinik I, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany

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• Tobias Schlesinger,

  Roles Resources

  Affiliation Department of Anaesthesiology and Intensive Care, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany

  https://orcid.org/0000-0003-1044-3086

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• Patrick Meybohm,

  Roles Methodology, Supervision, Writing – review & editing

  Affiliation Department of Anaesthesiology and Intensive Care, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany

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• Jan Stumpner

  Roles Resources

  Affiliation Department of Anaesthesiology and Intensive Care, University of Würzburg, University Hospital Wuerzburg, Würzburg, Germany

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