A hierarchical opportunistic screening model for osteoporosis using machine learning applied to clinical data and CT images

BACKGROUND: Osteoporosis is a common metabolic skeletal disease and usually lacks obvious symptoms. Many individuals are not diagnosed until osteoporotic fractures occur. Bone mineral density (BMD) measured by dual-energy X-ray absorptiometry (DXA) is the gold standard for osteoporosis detection. Ho...

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Detalles Bibliográficos
Autores principales: Liu, Liyu, Si, Meng, Ma, Hecheng, Cong, Menglin, Xu, Quanzheng, Sun, Qinghua, Wu, Weiming, Wang, Cong, Fagan, Michael J., Mur, Luis A. J., Yang, Qing, Ji, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829991/
https://www.ncbi.nlm.nih.gov/pubmed/35144529
http://dx.doi.org/10.1186/s12859-022-04596-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8829991/
https://www.ncbi.nlm.nih.gov/pubmed/35144529
http://dx.doi.org/10.1186/s12859-022-04596-z

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