Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model

• Britta Trautwein ,

  Roles Conceptualization, Visualization, Writing – original draft

  * E-mail: britta.trautwein@uniklinik-ulm.de

  Affiliation University Hospital Ulm, Ulm, Germany

  https://orcid.org/0009-0008-1894-4751

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• Meinrad Beer,

  Roles Conceptualization, Writing – review & editing

  Affiliation University Hospital Ulm, Ulm, Germany

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• Manfred Blobner,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliations University Hospital Ulm, Ulm, Germany, Technical University of Munich, Munich, Germany

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• Bettina Jungwirth,

  Roles Conceptualization, Supervision, Writing – review & editing

  Affiliation University Hospital Ulm, Ulm, Germany

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• Simone Maria Kagerbauer ,

  Contributed equally to this work with: Simone Maria Kagerbauer, Michael Götz

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Writing – review & editing

  ¶☯ These authors contributed equally to this work.

  Affiliations University Hospital Ulm, Ulm, Germany, Technical University of Munich, Munich, Germany

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• Michael Götz

  Contributed equally to this work with: Simone Maria Kagerbauer, Michael Götz

  Roles Conceptualization, Data curation, Funding acquisition, Methodology, Writing – review & editing

  ¶☯ These authors contributed equally to this work.

  Affiliation University Hospital Ulm, Ulm, Germany

  https://orcid.org/0000-0003-0984-224X

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