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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...
Autores principales: | Scutari, Marco, Auconi, Pietro, Caldarelli, Guido, Franchi, Lorenzo |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
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 |
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