Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes
Machine learning models can identify T2D risk using questionnaires and blood samples. These have implications for electronic health records that can be explored further.
Authors
- Ali Rezaee (ORCID: https://orcid.org/0009-0005-8480-5408)
- Maryam Mohammadi‐Bajgiran
- MohammadReza Mohammad Taghizadeh Sarabi
- Amin Mansoori (ORCID: https://orcid.org/0000-0003-4442-3358)
- Davoud Tanbakuchi
- Sara Ghazizadeh (ORCID: https://orcid.org/0000-0003-1944-3509)
- Mohammad Rashidmayvan
- Malihehsadat Abedsaeidi
- Habibollah Esmaily (ORCID: https://orcid.org/0000-0003-4139-546X)
- Majid Ghayour‐Mobarhan (ORCID: https://orcid.org/0000-0002-1081-6754)
- Gordon A. Ferns
- Elahe Derakhshan‐Nezhad
- Fatemeh Sangin
Institutions
- Brighton and Sussex Medical School (GB)
- Mashhad University of Medical Sciences (IR)
- Islamic Azad University, Mashhad (IR)
- Gonabad University of Medical Sciences (IR)
- Ferdowsi University of Mashhad (IR)
- Mazandaran University of Medical Sciences (IR)
Publication Details
- Journal
- Journal of Health Population and Nutrition
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1186/s41043-024-00712-2
- Citations
- 3
- Primary Topic
- Nutritional Studies and Diet
- Type
- article
- Field-Weighted Citation Impact
- 5.64