Use of artificial neural networks to identify the predictive factors of extracorporeal shock wave therapy treating patients with chronic plantar fasciitis

The purpose of our study is to identify the predictive factors for a minimum clinically successful therapy after extracorporeal shock wave therapy for chronic plantar fasciitis. The demographic and clinical characteristics were evaluated. The artificial neural networks model was used to choose the s...

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Detalles Bibliográficos
Autores principales: Yin, Mengchen, Ma, Junming, Xu, Jinhai, Li, Lin, Chen, Guanghui, Sun, Zhengwang, Liu, Yujie, He, Shaohui, Ye, Jie, Mo, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414656/
https://www.ncbi.nlm.nih.gov/pubmed/30862876
http://dx.doi.org/10.1038/s41598-019-39026-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6414656/
https://www.ncbi.nlm.nih.gov/pubmed/30862876
http://dx.doi.org/10.1038/s41598-019-39026-3

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