[Predicting the risk of proximal junctional kyphosis after modified grade Ⅳ osteotomy for thoracolumbar old fractures with kyphotic deformity using machine learning].
- DOI
- 10.3760/cma.j.cn112137-20260708-01714
- Published
- 2026 Sep 15
- Container
- Zhonghua yi xue za zhi
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.3760/cma.j.cn112137-20260708-01714,
title = {[Predicting the risk of proximal junctional kyphosis after modified grade Ⅳ osteotomy for thoracolumbar old fractures with kyphotic deformity using machine learning].},
author = {Cai F and Feng Y and Wang LJ and Xi K and Tang JC and Lu XD and Gu Y and Chen L},
year = {2026},
journal = {Zhonghua yi xue za zhi},
doi = {10.3760/cma.j.cn112137-20260708-01714},
url = {https://doi.org/10.3760/cma.j.cn112137-20260708-01714}
}RIS
TY - JOUR TI - [Predicting the risk of proximal junctional kyphosis after modified grade Ⅳ osteotomy for thoracolumbar old fractures with kyphotic deformity using machine learning]. AU - Cai F AU - Feng Y AU - Wang LJ AU - Xi K AU - Tang JC AU - Lu XD AU - Gu Y AU - Chen L PY - 2026 JO - Zhonghua yi xue za zhi DO - 10.3760/cma.j.cn112137-20260708-01714 UR - https://doi.org/10.3760/cma.j.cn112137-20260708-01714 ER -
APA
F, C., Y, F., LJ, W., K, X., JC, T., XD, L., Y, G., & L, C. (2026). [Predicting the risk of proximal junctional kyphosis after modified grade Ⅳ osteotomy for thoracolumbar old fractures with kyphotic deformity using machine learning].. Zhonghua yi xue za zhi. https://doi.org/10.3760/cma.j.cn112137-20260708-01714
Source records
- pubmed · retrieved 2026-09-26T21:27:32.464Z
- europe-pmc · retrieved 2026-09-26T21:27:32.475Z