Predicting outcomes in patients with perforated gastroduodenal ulcers: artificial neural network modelling indicates a highly complex disease.

Journal: European journal of trauma and emergency surgery : official publication of the European Trauma Society
Published Date: Jun 14, 2014

Abstract

PURPOSE: Mortality prediction models for patients with perforated peptic ulcer (PPU) have not yielded consistent or highly accurate results. Given the complex nature of this disease, which has many non-linear associations with outcomes, we explored artificial neural networks (ANNs) to predict the complex interactions between the risk factors of PPU and death among patients with this condition.

Authors

  • K Søreide
    Department of Gastrointestinal Surgery, Stavanger University Hospital, P.O. Box 8100, 4068 Stavanger, Norway ; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
  • K Thorsen
    Department of Gastrointestinal Surgery, Stavanger University Hospital, P.O. Box 8100, 4068 Stavanger, Norway ; Department of Clinical Medicine, University of Bergen, Bergen, Norway.
  • J A Søreide
    Department of Gastrointestinal Surgery, Stavanger University Hospital, P.O. Box 8100, 4068 Stavanger, Norway ; Department of Clinical Medicine, University of Bergen, Bergen, Norway.

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