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Interpretable machine learning model for low bone density screening in older adults using demographic and anthropometric data: findings from 2005 to 2020 NHANES

Crossref DOI link: https://doi.org/10.1186/s12911-025-03177-3

Published Online: 2025-09-26

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

Authors

Huang, Weiyan

Pan, Qimou

Peng, Jiewei

Wu, Yufeng

Gao, Dawei
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Text and Data Mining valid from 2025-09-26

Version of Record valid from 2025-09-26
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Article History

Received: 4 January 2025

Accepted: 29 August 2025

First Online: 26 September 2025

Declarations

:

: Data used in the present study was from the publicly available database NHANES. The National Center for Health Statistics (NCHS) Ethics Review Board approved the protocols of NHANES. The NCHS Ethics Review Board ensures that research involving human participants protects the rights and welfare of study participants and conforms to U.S. federal regulations. All the participants from NHANES 2005–2020 gave documented signed consent. The consent form explained the purpose of the survey, procedures involved, potential risks and benefits, confidentiality measures, and the right to withdraw from the survey at any time without penalty. Participants were also informed that their data would be kept confidential and used only for research purposes.

: Written informed consent for publication was obtained from all participants.

: The authors declare no competing interests.

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