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

Authors

Xiaofeng Chen (ORCID: https://orcid.org/0000-0001-5858-5070)
Shiji Chen (ORCID: https://orcid.org/0000-0002-5775-2516)
Jiheng Zhan (ORCID: https://orcid.org/0000-0002-9370-3367)
Weijun Guo (ORCID: https://orcid.org/0000-0002-6001-4856)
Dongling Cai (ORCID: https://orcid.org/0000-0003-4101-2772)
Zihao Liu (ORCID: https://orcid.org/0000-0003-0488-9348)
Hao Li (ORCID: https://orcid.org/0000-0002-7577-1366)
Qin Huang (ORCID: https://orcid.org/0000-0003-3388-1011)
Qipeng Wei

Institutions

Guangzhou University of Chinese Medicine (CN)
Panyu Hospital of Chinese Medicine (CN)

Publication Details

Journal: BMC Medical Informatics and Decision Making
Published: 2025-11-22
DOI: https://doi.org/10.1186/s12911-025-03292-1
Primary Topic: Bone health and osteoporosis research
Type: article
Field-Weighted Citation Impact: 0.00

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article

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

Xiaofeng Chen, Shiji Chen, Jiheng Zhan, Weijun Guo et al.

Nov 22, 2025

BMC Medical Informatics and Decision Making

Bone health and osteoporosis research

article

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

Xiaofeng Chen, Shiji Chen, Jiheng Zhan, Weijun Guo, Dongling Cai, Zihao Liu, Hao Li, Qin Huang, Qipeng Wei

November 22, 2025article en

Abstract

No abstract available for this paper.

BMC Medical Informatics and Decision MakingVol. 25(1)

Guangzhou University of Chinese Medicine (CN), Panyu Hospital of Chinese Medicine (CN)

Openalex Percentile: Top 55%

Bone health and osteoporosis research

DOI Open Access PDF OpenAlex

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