Machine learning-based exploration of the associations between multiple minerals' intake and thyroid dysfunction: data from the National Health and Nutrition Examination Survey

In short, the maintenance of a well-balanced consumption of multiple minerals is considered crucial in the prevention and treatment of TD, and the intakes of various minerals exhibit varying degrees of association with TD.

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Publication Details

Journal
Frontiers in Nutrition
Published
2025-03-26
DOI
https://doi.org/10.3389/fnut.2025.1522232
Citations
2
Primary Topic
Thyroid Disorders and Treatments
Type
article
Field-Weighted Citation Impact
2.59
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article

Machine learning-based exploration of the associations between multiple minerals' intake and thyroid dysfunction: data from the National Health and Nutrition Examination Survey

Shaojie Liu, Baochang He, Wei Huang, Zhiping Yang et al.
2 citations
Frontiers in Nutrition
Thyroid Disorders and Treatments
2.59
article

Machine learning-based exploration of the associations between multiple minerals' intake and thyroid dysfunction: data from the National Health and Nutrition Examination Survey

Shaojie Liu, Baochang He, Wei Huang, Zhiping Yang, Yu‐Hsuan Lin, Bo Chen, Yifei Wang, Xiaojuan Chen, Hongjin Li, Jing Fan, Y L Zou
article en
2 citations

Abstract

In short, the maintenance of a well-balanced consumption of multiple minerals is considered crucial in the prevention and treatment of TD, and the intakes of various minerals exhibit varying degrees of association with TD.

Frontiers in NutritionVol. 12
Fujian Medical University (CN), Fudan University (CN), First Affiliated Hospital of Xiamen University (CN), First Affiliated Hospital of Fujian Medical University (CN), Gansu Provincial Center for Disease Control and Prevention (CN)
Zero hunger
Openalex Percentile: Top 11%
Thyroid Disorders and Treatments
2.59
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