Enhanced risk prediction of femoral head osteonecrosis in the elderly: a comparative study of random forest and logistic regression models
The RF algorithm outperformed traditional logistic regression in predicting ONFH among older adults, highlighting the potential of machine learning techniques to support early risk identification and improve clinical decision-making in orthopedic care.
Authors
- Junqing Jia
- Huayu Yang (ORCID: https://orcid.org/0000-0001-9791-3559)
- 浩隆 今牧
- Peng Shang (ORCID: https://orcid.org/0000-0001-5418-6240)
- Qingqing Liu (ORCID: https://orcid.org/0000-0002-6476-6502)
Institutions
- Shanxi Academy of Medical Sciences (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-10
- DOI
- https://doi.org/10.3389/fmed.2025.1640085
- Citations
- 1
- Primary Topic
- Bone and Joint Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.72