A machine learning approach to stratify patients with hypermobile Ehlers‐Danlos syndrome/hypermobility spectrum disorders according to disorders of gut brain interaction, comorbidities and quality of life

Choudhary, A. orcid.org/0000-0003-3694-9798, Fikree, A., Ruffle, J.K. orcid.org/0000-0001-6248-7203 et al. (4 more authors) (2025) A machine learning approach to stratify patients with hypermobile Ehlers‐Danlos syndrome/hypermobility spectrum disorders according to disorders of gut brain interaction, comorbidities and quality of life. Neurogastroenterology & Motility, 37 (1). e14957. ISSN 1350-1925

Abstract

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Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2024 The Author(s). Neurogastroenterology & Motility published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited: https://creativecommons.org/licenses/by/4.0/

Keywords: disorders of gut brain interaction; functional dyspepsia; functional gastrointestinal disorders; hypermobile Ehlers-Danlos syndrome; hypermobility; irritable bowel syndrome; psychological; quality of life and co-morbidity
Dates:
  • Published: January 2025
  • Published (online): 14 November 2024
  • Accepted: 21 October 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Depositing User: Symplectic Sheffield
Date Deposited: 19 Nov 2024 16:41
Last Modified: 12 Mar 2025 16:58
Status: Published
Publisher: Wiley
Refereed: Yes
Identification Number: 10.1111/nmo.14957
Open Archives Initiative ID (OAI ID):

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