Hip fracture risk assessment: artificial neural network outperforms conditional logistic regression in an age- and sex-matched case control study

BACKGROUND: Osteoporotic hip fractures with a significant morbidity and excess mortality among the elderly have imposed huge health and economic burdens on societies worldwide. In this age- and sex-matched case control study, we examined the risk factors of hip fractures and assessed the fracture ri...

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Detalles Bibliográficos
Autores principales: Tseng, Wo-Jan, Hung, Li-Wei, Shieh, Jiann-Shing, Abbod, Maysam F, Lin, Jinn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723443/
https://www.ncbi.nlm.nih.gov/pubmed/23855555
http://dx.doi.org/10.1186/1471-2474-14-207

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3723443/
https://www.ncbi.nlm.nih.gov/pubmed/23855555
http://dx.doi.org/10.1186/1471-2474-14-207

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