Risk of primary osteoporosis score (RPOPs): an algorithm model for primary osteoporosis risk assessment in grass-roots hospital

BACKGROUND: This study aimed to develop and validate a lasso regression algorithm model which was established by correlation factors of bone mineral density (BMD) and could be accurately predicted a high-risk population of primary osteoporosis (POP). It provides a rapid, economical and acceptable ea...

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Detalles Bibliográficos
Autores principales: Jiang, Xinhua, Yan, Na, Zheng, Yaqin, Yang, Jintao, Zhao, Yanfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713074/
https://www.ncbi.nlm.nih.gov/pubmed/36456916
http://dx.doi.org/10.1186/s12891-022-06014-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713074/
https://www.ncbi.nlm.nih.gov/pubmed/36456916
http://dx.doi.org/10.1186/s12891-022-06014-0

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