Identification of key factors for malnutrition diagnosis in chronic gastrointestinal diseases using machine learning underscores the importance of GLIM criteria as well as additional parameters
ML analysis confirmed the clinical applicability of the current GLIM criteria and identified additional features that may improve malnutrition diagnosis and understanding of the pathophysiology of malnutrition in chronic gastrointestinal diseases.
Authors
- Luise Ehlers (ORCID: https://orcid.org/0000-0001-8565-0560)
- Robert Jaster (ORCID: https://orcid.org/0000-0002-8220-4570)
- Olaf Wolkenhauer (ORCID: https://orcid.org/0000-0001-6105-2937)
- Mats L. Wiese (ORCID: https://orcid.org/0000-0002-2338-2174)
- Vanessa Caton
- Lea F. Sautter
- Georg Lamprecht (ORCID: https://orcid.org/0000-0003-0997-3135)
- Saptarshi Bej (ORCID: https://orcid.org/0000-0003-1835-6139)
- Fatuma Meyer (ORCID: https://orcid.org/0000-0003-3355-212X)
- Markus Wolfien (ORCID: https://orcid.org/0000-0002-1887-4772)
- Luzia Valentini (ORCID: https://orcid.org/0000-0002-4313-0441)
- Ali A. Aghdassi (ORCID: https://orcid.org/0000-0002-0569-7316)
- David Brauer (ORCID: https://orcid.org/0000-0002-3096-8712)
- Karen Rischmüller
- Matti van Welzen
Institutions
- Universitätsmedizin Greifswald (DE)
- Neubrandenburg University of Applied Sciences (DE)
- Leibniz-Institute for Food Systems Biology at the Technical University of Munich (DE)
- Carl Gustav Carus-Institut (DE)
- University Hospital Carl Gustav Carus (DE)
- Center for Scalable Data Analytics and Artificial Intelligence (DE)
- University of Rostock (DE)
- Indian Institute of Science Education and Research Thiruvananthapuram (IN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2024-12-12
- DOI
- https://doi.org/10.3389/fnut.2024.1479501
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.33
Funders
- European Social Fund