Bayesian Networks Analysis of Malocclusion Data

In this paper we use Bayesian networks to determine and visualise the interactions among various Class III malocclusion maxillofacial features during growth and treatment. We start from a sample of 143 patients characterised through a series of a maximum of 21 different craniofacial features. We est...

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Detalles Bibliográficos
Autores principales: Scutari, Marco, Auconi, Pietro, Caldarelli, Guido, Franchi, Lorenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681542/
https://www.ncbi.nlm.nih.gov/pubmed/29127377
http://dx.doi.org/10.1038/s41598-017-15293-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5681542/
https://www.ncbi.nlm.nih.gov/pubmed/29127377
http://dx.doi.org/10.1038/s41598-017-15293-w

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