Associations of dietary patterns with serum 25(OH) vitamin D and serum anemia related biomarkers among expectant mothers: A machine learning based approach
The MP + LA dietary pattern exhibits a positive association with serum iron biomarkers and a negative association with 25(OH) vitamin D. Machine learning models demonstrate comparable predictive accuracy, highlighting their utility in nutritional epidemiology for identifying dietary patterns and their relationships with biochemical markers.
Authors
- Chyi‐Huey Bai (ORCID: https://orcid.org/0000-0002-4658-1088)
- Jung‐Su Chang (ORCID: https://orcid.org/0000-0001-8608-9349)
- Arpita Das (ORCID: https://orcid.org/0000-0001-7043-3328)
- Fan‐Fen Wang (ORCID: https://orcid.org/0000-0002-7770-751X)
- Jane C.-J. Chao (ORCID: https://orcid.org/0000-0002-3610-9580)
- Yi-Chun Chen (ORCID: https://orcid.org/0000-0002-6930-1712)
- Chien‐Yeh Hsu
- Ya-Li Huang
Institutions
- National Taipei University of Nursing and Health Science (TW)
- Taipei Medical University Hospital (TW)
- Taipei City Hospital (TW)
- Taipei Medical University (TW)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105890
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 0.00