Experts vs. machine - comparison of machine learning to expert-informed prediction of outcome after major liver surgery.

Journal: HPB : the official journal of the International Hepato Pancreato Biliary Association
Published Date: Feb 13, 2024

Abstract

BACKGROUND: Machine learning (ML) has been successfully implemented for classification tasks (e.g., cancer diagnosis). ML performance for more challenging predictions is largely unexplored. This study's objective was to compare machine learning vs. expert-informed predictions for surgical outcome in patients undergoing major liver surgery.

Authors

  • Roxane D Staiger
    Department of Surgery & Transplantation, University Hospital Zurich, Zurich, Switzerland. Electronic address: roxane.staiger@luks.ch.
  • Tarun Mehra
    Department of Medical Oncology and Hematology, University Hospital Zurich, Zurich, Switzerland.
  • Sarah R Haile
    Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
  • Anja Domenghino
    Department of Surgery & Transplantation, University Hospital Zurich, Zurich, Switzerland.
  • Christoph Kümmerli
    Department of Surgery, Clarunis University Hospital, Basel, Switzerland.
  • Fariba Abbassi
    Department of Surgery & Transplantation, University Hospital Zurich, Zurich, Switzerland.
  • Damian Kozbur
    Department of Economics, University of Zurich, Zurich, Switzerland.
  • Philipp Dutkowski
    Department of Surgery & Transplantation, University Hospital Zurich, Zurich, Switzerland.
  • Milo A Puhan
    Department of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
  • Pierre-Alain Clavien
    Swiss HPB Center Department of General and Transplant Surgery, University of Zurich, University Hospital Zurich, Switzerland.

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