Machine Learning to Predict Fascial Dehiscence after Exploratory Laparotomy Surgery.

Journal: The Journal of surgical research
PMID: 34455314

Abstract

BACKGROUND: Fascial dehiscence following exploratory laparotomy is associated with significant morbidity and increased mortality. Previously published risk prediction models for fascial dehiscence are dated and limit a surgeon's ability to perform reliable risk assessment intraoperatively. We sought to determine if machine learning can predict fascial dehiscence after exploratory laparotomy.

Authors

  • Jacob Cole
    Department of Anesthesiology and Pain Medicine, Naval Medical Center Portsmouth, Portsmouth, Virginia; Naval Biotechnology Group, Naval Medical Center Portsmouth, Portsmouth, Virginia; Investigation performed at Naval Medical Center Portsmouth, Portsmouth Virginia; Uniformed Services University of the Health Sciences.
  • Scott Hughey
    Department of Anesthesiology and Pain Medicine, Naval Medical Center Portsmouth, Portsmouth, Virginia; Naval Biotechnology Group, Naval Medical Center Portsmouth, Portsmouth, Virginia; Investigation performed at Naval Medical Center Portsmouth, Portsmouth Virginia; Uniformed Services University of the Health Sciences.
  • Alexander Metzger
    Eastern Virginia Medical School, Norfolk, Virginia; Investigation performed at Naval Medical Center Portsmouth, Portsmouth Virginia.
  • Phillip Geiger
    Department of Anesthesiology and Pain Medicine, Naval Medical Center Portsmouth, Portsmouth, Virginia; Naval Biotechnology Group, Naval Medical Center Portsmouth, Portsmouth, Virginia; Investigation performed at Naval Medical Center Portsmouth, Portsmouth Virginia; Uniformed Services University of the Health Sciences.
  • Laura Fluke
    Department of General Surgery, Naval Medical Center Portsmouth, Portsmouth Virginia; Investigation performed at Naval Medical Center Portsmouth, Portsmouth Virginia; Uniformed Services University of the Health Sciences. Electronic address: laura.m.fluke.mil@mail.mil.
  • Gregory J Booth
    Department of Anesthesiology and Pain Medicine, Naval Medical Center Portsmouth, Portsmouth, Virginia; Naval Biotechnology Group, Naval Medical Center Portsmouth, Portsmouth, Virginia; Investigation performed at Naval Medical Center Portsmouth, Portsmouth Virginia; Uniformed Services University of the Health Sciences.

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