Prediction of postoperative complications after oesophagectomy using machine-learning methods.

Journal: The British journal of surgery
Published Date: Sep 6, 2023

Abstract

BACKGROUND: Oesophagectomy is an operation with a high risk of postoperative complications. The aim of this single-centre retrospective study was to apply machine-learning methods to predict complications (Clavien-Dindo grade IIIa or higher) and specific adverse events.

Authors

  • Jin-On Jung
    Department of General, Visceral and Tumor Surgery, University Hospital Cologne, Kerpener Strasse 62, 50937, Cologne, Germany.
  • Juan I Pisula
    Centre for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.
  • Kasia Bozek
    Centre for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital of Cologne, Cologne, Germany.
  • Felix Popp
    Department of General, Visceral, Tumour, and Transplantation Surgery, University Hospital of Cologne, Cologne, Germany.
  • Hans F Fuchs
    Department of Surgery, University of Cologne, Kerpener Str. 62, Cologne, 50937, Germany. hans-fuchs@freenet.de.
  • Wolfgang Schröder
    Institute of Aerodynamics and Chair of Fluid Mechanics, RWTH Aachen University, Wüllnerstr. 5a, 52062, Aachen, Germany.
  • Christiane J Bruns
    Department of Surgery, University of Cologne, Kerpener Str. 62, Cologne, 50937, Germany.
  • Thomas Schmidt
    Department for Clinical Research, Schüchtermann-Klinik Bad Rothenfelde, Germany.

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