Machine Learning Algorithms: Prediction and Feature Selection for Clinical Refracture after Surgically Treated Fragility Fracture

Background: The number of patients with fragility fracture has been increasing. Although the increasing number of patients with fragility fracture increased the rate of fracture (refracture), the causes of refracture are multifactorial, and its predictors are still not clarified. In this issue, we c...

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Detalles Bibliográficos
Autores principales: Shimizu, Hirokazu, Enda, Ken, Shimizu, Tomohiro, Ishida, Yusuke, Ishizu, Hotaka, Ise, Koki, Tanaka, Shinya, Iwasaki, Norimasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999234/
https://www.ncbi.nlm.nih.gov/pubmed/35407629
http://dx.doi.org/10.3390/jcm11072021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8999234/
https://www.ncbi.nlm.nih.gov/pubmed/35407629
http://dx.doi.org/10.3390/jcm11072021

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