Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHANES 2015–2018

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Publication Details

Journal
BMC Public Health
Published
2025-02-04
DOI
https://doi.org/10.1186/s12889-025-21658-y
Citations
3
Primary Topic
Radioactivity and Radon Measurements
Type
article
Field-Weighted Citation Impact
4.62
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article

Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHANES 2015–2018

Jiayi Chen
3 citations
BMC Public Health
Radioactivity and Radon Measurements
4.62
article

Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHANES 2015–2018

Jiayi Chen
article en
3 citations

Abstract

No abstract available for this paper.
BMC Public HealthVol. 25(1)
Wujiang District People's Hospital (CN), Suzhou Traditional Chinese Medicine Hospital (CN)
Openalex Percentile: Top 7%
Radioactivity and Radon Measurements
4.62
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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHANES 2015–2018 — Jiayi Chen · BMC Public Health (2025) | TGRS Research Map | TGRS