Systematic evaluation of machine learning models for postoperative surgical site infection prediction.

Journal: PloS one
PMID: 39666725

Abstract

BACKGROUND: Surgical site infections (SSIs) lead to increased mortality and morbidity, as well as increased healthcare costs. Multiple models for the prediction of this serious surgical complication have been developed, with an increasing use of machine learning (ML) tools.

Authors

  • Anna M van Boekel
    Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands.
  • Siri L van der Meijden
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Sesmu M Arbous
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Rob G H H Nelissen
  • Karin E Veldkamp
    Department of Medical Microbiology and Infection Control, Leiden University Medical Center, Leiden, The Netherlands.
  • Emma B Nieswaag
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Kim F T Jochems
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Jeroen Holtz
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Annekee van IJlzinga Veenstra
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Jeroen Reijman
    Department of Intensive Care, Leiden University Medical Center, Leiden, The Netherlands.
  • Ype de Jong
    Department of Internal Medicine, Leiden University Medical Center, Leiden, The Netherlands.
  • Harry van Goor
    Department of Surgery, Radboud UMC, Nijmegen, The Netherlands.
  • Maryse A Wiewel
    Healthplus.ai R&D B.V., Amsterdam, The Netherlands.
  • Jan W Schoones
    Waleus Medical Library, Leiden University Medical Center, Leiden, The Netherlands.
  • Bart F Geerts
    Department of Anesthesiology, Amsterdam UMC, Location AMC, Amsterdam, the Netherlands.
  • Mark G J de Boer
    Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

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