Relationships between minerals' intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study.
- DOI
- 10.1038/s41387-024-00293-3
- Published
- 2024 Jun 1
- Container
- Nutrition & diabetes
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41387-024-00293-3,
title = {Relationships between minerals' intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study.},
author = {Fan J and Liu S and Wei L and Zhao Q and Zhao G and Dong R and Chen B},
year = {2024},
journal = {Nutrition \& diabetes},
doi = {10.1038/s41387-024-00293-3},
url = {https://doi.org/10.1038/s41387-024-00293-3}
}RIS
TY - JOUR TI - Relationships between minerals' intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study. AU - Fan J AU - Liu S AU - Wei L AU - Zhao Q AU - Zhao G AU - Dong R AU - Chen B PY - 2024 JO - Nutrition & diabetes DO - 10.1038/s41387-024-00293-3 UR - https://doi.org/10.1038/s41387-024-00293-3 ER -
APA
J, F., S, L., L, W., Q, Z., G, Z., R, D., & B, C. (2024). Relationships between minerals' intake and blood homocysteine levels based on three machine learning methods: a large cross-sectional study.. Nutrition & diabetes. https://doi.org/10.1038/s41387-024-00293-3
Source records
- pubmed · retrieved 2026-09-25T06:32:04.327Z