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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Dades bibliogràfiques
Autors principals: 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
Format: Online Article Text
Idioma:English
Publicat: Elsevier 2023
Matèries:
Research Article
Accés en línia: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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