A Machine Learning–Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study

BACKGROUND: Identifying persons with a high risk of developing osteoporosis and preventing the occurrence of the first fracture is a health care priority. Most existing osteoporosis screening tools have high sensitivity but relatively low specificity. OBJECTIVE: We aimed to develop an easily accessi...

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Detalles Bibliográficos
Autores principales: Yang, Qingling, Cheng, Huilin, Qin, Jing, Loke, Alice Yuen, Ngai, Fei Wan, Chong, Ka Chun, Zhang, Dexing, Gao, Yang, Wang, Harry Haoxiang, Liu, Zhaomin, Hao, Chun, Xie, Yao Jie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686208/
https://www.ncbi.nlm.nih.gov/pubmed/37986117
http://dx.doi.org/10.2196/46791

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10686208/
https://www.ncbi.nlm.nih.gov/pubmed/37986117
http://dx.doi.org/10.2196/46791

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