Machine learning prediction model for postoperative ileus following colorectal surgery.

Journal: ANZ journal of surgery
PMID: 38695239

Abstract

BACKGROUND: Postoperative ileus (POI) continues to be a major cause of morbidity following colorectal surgery. Despite best efforts, the incidence of POI in colorectal surgery remains high (~30%). This study aimed to investigate machine learning techniques to identify risk factors for POI in colorectal surgery patients, to help guide further preventative strategies.

Authors

  • Luke Traeger
    Discipline of Surgery, Faculty of Health and Medical Sciences, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
  • Sergei Bedrikovetski
    Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, SA, Australia.
  • Jessica E Hanna
    Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
  • James W Moore
    Discipline of Surgery, Faculty of Health and Medical Science, School of Medicine, University of Adelaide, Adelaide, South Australia, Australia; Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia.
  • Tarik Sammour
    Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, SA, Australia. tarik.sammour@gmail.com.

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