Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm
The osteoporosis prediction model is readily generalizable and can aid physicians in efficiently screening for osteoporosis in the broader older demographic. This will facilitate rapid detection and diagnosis of the disease, as well as the formulation of improved therapeutic treatment strategies for patients.
Authors
- Shihao Wang (ORCID: https://orcid.org/0009-0002-9724-4628)
- Siyuan Zhao (ORCID: https://orcid.org/0000-0003-0747-7939)
- Tongping Shen (ORCID: https://orcid.org/0000-0003-0098-476X)
- Jiaming Wang (ORCID: https://orcid.org/0000-0001-8144-5842)
Institutions
- Anhui University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-09-12
- DOI
- https://doi.org/10.3389/fmed.2025.1607734
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00