Neural network prediction of severe lower intestinal bleeding and the need for surgical intervention.

Journal: The Journal of surgical research
PMID: 28550920

Abstract

BACKGROUND: The prognosis for patients with severe acute lower intestinal bleeding (ALIB) may be assessed by complex artificial neural networks (ANNs) or user-friendly regression-based models. Comparisons between these modalities are limited, and predicting the need for surgical intervention remains elusive. We hypothesized that ANNs would outperform the Strate rule to predict severe bleeding and would also predict the need for surgical intervention.

Authors

  • Tyler J Loftus
    Department of Surgery, University of Florida Health, Gainesville, FL. Electronic address: tyler.loftus@surgery.ufl.edu.
  • Scott C Brakenridge
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida. Electronic address: Scott.Brakenridge@surgery.ufl.edu.
  • Chasen A Croft
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.
  • Robert Stephen Smith
    Department of Surgery, University of Florida Health, Gainesville, Florida.
  • Philip A Efron
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.
  • Frederick A Moore
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.
  • Alicia M Mohr
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.
  • Janeen R Jordan
    Department of Surgery, Sepsis and Critical Illness Research Center, University of Florida Health, Gainesville, Florida.

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