Developing a Neural Network Model for a Non-invasive Prediction of Histologic Activity in Inflammatory Bowel Diseases.

Journal: The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
PMID: 34160357

Abstract

BACKGROUND: Colonoscopy with biopsy is the "gold" standard for evaluating disease activity in inflammatory bowel diseases (IBD). Current research is geared toward finding non-invasive, cost-efficient methods that estimate disease activity. We aimed to develop a neural network (NN) model for the non-invasive prediction of histologic activity in IBD using routinely available clinical-biological parameters.

Authors

  • Iolanda Valentina Popa
    "Grigore T. Popa" University of Medicine, Iasi, Romania.
  • Mircea Diculescu
    Department of Gastroenterology, Fundeni Clinical Institute, Bucharest, Romania;Carol Davila' University of Medicine and Pharmacy, Bucharest, Romania.
  • Catalina Mihai
    University of Medicine and Pharmacy "Gr. T. Popa", Iași, Romania;Institute of Gastroenterology and Hepatology, Iași, Romania.
  • Cristina Cijevschi Prelipcean
    University of Medicine and Pharmacy "Gr. T. Popa", Iași, Romania;Institute of Gastroenterology and Hepatology, Iași, Romania.
  • Alexandru Burlacu
    Department of Interventional Cardiology-Cardiovascular Diseases Institute, Iasi, Romania.

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