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Machine learning prediction model with shap interpretation for chronic bronchitis risk assessment based on heavy metal exposure: a nationally representative study

Crossref DOI link: https://doi.org/10.1186/s12890-025-03724-8

Published Online: 2025-05-22

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xia, Tiansheng

Han, Kaiyu
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Text and Data Mining valid from 2025-05-22

Version of Record valid from 2025-05-22
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Article History

Received: 25 February 2025

Accepted: 13 May 2025

First Online: 22 May 2025

Declarations

:

: This study is based on data from the National Health and Nutrition Examination Survey (NHANES), which has been approved by the Research Ethics Review Board of the National Center for Health Statistics. The study adheres to the ethical principles of the Declaration of Helsinki and its subsequent amendments. All participants have provided written informed consent.The data utilized in this work is derived from public databases, and its information is publicly accessible and permitted for unrestricted reuse under an open license.

: Not applicable.

: Tiansheng Xia and Kaiyu Han declare that they have no conflict of interest.

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