Classification of recurrence status after surgical treatment of chronic subdural hemorrhage – A machine learning approach

• Hussam Hamou ,

  Contributed equally to this work with: Hussam Hamou, Julius Kernbach

  Roles Conceptualization, Data curation, Methodology, Writing – original draft

  Affiliation Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany

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• Julius Kernbach ,

  Contributed equally to this work with: Hussam Hamou, Julius Kernbach

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing

  Affiliations Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany, Department of Neuroradiology, University Hospital Heidelberg, Heidelberg, Germany

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• Hani Ridwan,

  Roles Data curation, Resources, Validation, Writing – review & editing

  Affiliation Department of Diagnostic and Interventional Neuroradiology, RWTH Aachen University, Aachen, Germany

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• Kimberley Fay-Rodrian,

  Roles Data curation, Investigation, Writing – review & editing

  Affiliation Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany

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• Hans Clusmann,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany

  https://orcid.org/0000-0001-8258-9346

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• Anke Hoellig,

  Roles Supervision, Writing – review & editing

  Affiliation Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany

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• Michael Veldeman

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Resources, Supervision, Visualization, Writing – review & editing

  * E-mail: mveldeman@ukaachen.de

  Affiliation Department of Neurosurgery, RWTH Aachen University Hospital, Aachen, Germany

  https://orcid.org/0000-0003-3648-6842

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