Random forest algorithm to identify factors associated with sports-related dental injuries in 6 to 13-year-old athlete children in Hamadan, Iran-2018 -a cross-sectional study

BACKGROUND: Traumatic dental injuries are one of the most important problems with major physical, aesthetic, psychological, social, functional and therapeutic problems that adversely affect the quality of life of children and adolescents. Recently the development of methods based on machine learning...

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Detalles Bibliográficos
Autores principales: Farhadian, Maryam, Torkaman, Sima, Mojarad, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659093/
https://www.ncbi.nlm.nih.gov/pubmed/33292522
http://dx.doi.org/10.1186/s13102-020-00217-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7659093/
https://www.ncbi.nlm.nih.gov/pubmed/33292522
http://dx.doi.org/10.1186/s13102-020-00217-5

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