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A cross-sectional study comparing machine learning and logistic regression techniques for predicting osteoporosis in a group at high risk of cardiovascular disease among old adults

Crossref DOI link: https://doi.org/10.1186/s12877-025-05840-w

Published Online: 2025-03-29

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

Authors

Peng, Yuyi

Zhang, Chi

Zhou, Bo
Funding

Funding for this research was provided by:

Scientific Research Project from the Education Department of Liaoning Province (JYTMS20230110)

Scientific Research Project from the Education Department of Liaoning Province (LJKMZ20221209)
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Text and Data Mining valid from 2025-03-29

Version of Record valid from 2025-03-29
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Article History

Received: 16 July 2024

Accepted: 5 March 2025

First Online: 29 March 2025

Declarations

:

: Not applicable.

: The authors declare no competing interests.

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