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Development and validation of an interpretable machine learning model for osteoporosis prediction using routine blood tests: a retrospective cohort study

Crossref DOI link: https://doi.org/10.1186/s12911-025-03292-1

Published Online: 2025-11-22

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

Authors

Wei, Qipeng

Zhan, Jinxiang

Chen, Xiaofeng

Huang, Qingyan

Li, Hao

Guo, Weijun

Liu, Zihao

Chen, Shiji

Cai, Dongling
Funding

Funding for this research was provided by:

Panyu District Science and Technology Program ((2024-Z04-048))

Panyu District Science and Technology Program ((2024-Z04-006))

Key medical disciplines in Panyu District ((2022-2024))

Panyu District Science and Technology Programme Major Healthcare Projects ((2022-Z04-112))
License Information

Text and Data Mining valid from 2025-11-22

Version of Record valid from 2025-12-29
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Article History

Received: 12 June 2025

Accepted: 17 November 2025

First Online: 22 November 2025

Declarations

:

: All procedures were performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. This study was approved by the ethics committee of the Panyu Hospital of Guangzhou University of Chinese Medicine approved this study, which waived the requirement for individual consent due to the use of retrospective data.

: Not applicable.

: The authors declare no competing interests.

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