Prevalence, incidence, and mortality of inflammatory bowel disease in the Netherlands: development and external validation of machine learning models.

Journal: Journal of Crohn's & colitis
PMID: 39945210

Abstract

BACKGROUND AND AIMS: Large registries are promising tools to study the epidemiology of inflammatory bowel disease (IBD). We aimed to develop and validate machine learning models to identify IBD cases in administrative data, aiming to determine the prevalence, incidence, and mortality of IBD in the Netherlands.

Authors

  • Reinier C A van Linschoten
    Department of Gastroenterology & Hepatology, Franciscus Gasthuis & Vlietland, P.O. Box 10900, 3004 BA, Rotterdam, The Netherlands.
  • Nikki van Leeuwen
    Department of Public Health, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
  • David van Klaveren
  • Marieke J Pierik
    Department of Gastroenterology and Hepatology, MUMC+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
  • Rob Creemers
    NUTRIM School of Nutrition and Translational Research in Metabolism, Faculty of Health, Medicine and Life Sciences, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, The Netherlands.
  • Evelien M B Hendrix
    Department of Gastroenterology and Hepatology, MUMC+, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.
  • Jan A Hazelzet
    Department of Public Health, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
  • C Janneke van der Woude
    Department of Gastroenterology & Hepatology, Erasmus MC, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
  • Rachel L West
    Department of Gastroenterology & Hepatology, Franciscus Gasthuis & Vlietland, P.O. Box 10900, 3004 BA, Rotterdam, The Netherlands.
  • Desirée van Noord
    Department of Gastroenterology & Hepatology, Franciscus Gasthuis & Vlietland, P.O. Box 10900, 3004 BA, Rotterdam, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals