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Development of a machine learning model related to explore the association between heavy metal expos...

Development of a machine learning model related to explore the association between heavy metal expos...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c258de4d59e46a4b675af0093d0cf55

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

About this item

Full title

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

Author / Creator

Publisher

England: BioMed Central Ltd

Journal title

BMC public health, 2025-02, Vol.25 (1), p.455-12, Article 455

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Alveolar bone loss (ABL) is common in modern society. Heavy metal exposure is usually considered to be a risk factor for ABL. Some studies revealed a positive trend found between urinary heavy metals and periodontitis using multiple logistic regression and Bayesian kernel machine regression. Overfitting using kernel function, long calculation perio...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Author / Creator

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Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9c258de4d59e46a4b675af0093d0cf55

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c258de4d59e46a4b675af0093d0cf55

Other Identifiers

ISSN

1471-2458

E-ISSN

1471-2458

DOI

10.1186/s12889-025-21658-y

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