Artificial neural network optimizes self-examination of osteoporosis risk in women

OBJECTIVE: This study aimed to investigate the application of an artificial neural network (ANN) in optimizing the Osteoporosis Self-Assessment Tool for Asians (OSTA) score. METHODS: OSTA score was calculated for each female participant that underwent dual-energy X-ray absorptiometry examination in...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Jia, Sun, Ning, Chen, Yali, Li, Zhangming, Cui, Xiaomeng, Fan, Jingxue, Cao, Hailing, Zheng, Wangping, Jin, Qiying, Jiang, Lihong, Zhu, Wenliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Clinical Research Reports
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683875/
https://www.ncbi.nlm.nih.gov/pubmed/31179797
http://dx.doi.org/10.1177/0300060519850648

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6683875/
https://www.ncbi.nlm.nih.gov/pubmed/31179797
http://dx.doi.org/10.1177/0300060519850648

Ejemplares similares