Machine learning algorithms for predicting the risk of fracture in patients with diabetes in China

BACKGROUND: Patients with diabetes are more likely to be predisposed to fractures compared to those without diabetes. In clinical practice, predicting fracture risk in diabetics is still difficult because of the limited availability and accessibility of existing fracture prediction tools in the diab...

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Detalhes bibliográficos
Autores principales: Chu, Sijia, Jiang, Aijun, Chen, Lyuzhou, Zhang, Xi, Shen, Xiurong, Zhou, Wan, Ye, Shandong, Chen, Chao, Zhang, Shilu, Zhang, Li, Chen, Yang, Miao, Ya, Wang, Wei
Formato: Online Artigo Texto
Idioma:English
Publicado em: Elsevier 2023
Assuntos:
Research Article
Acesso em linha:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368844/
https://www.ncbi.nlm.nih.gov/pubmed/37501989
http://dx.doi.org/10.1016/j.heliyon.2023.e18186

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368844/
https://www.ncbi.nlm.nih.gov/pubmed/37501989
http://dx.doi.org/10.1016/j.heliyon.2023.e18186

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