Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes
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Date
2022-12
Profesor/a GuÃa
Facultad/escuela
Idioma
en
Journal Title
Journal ISSN
Volume Title
Publisher
BioMed Central Ltd
Nombre de Curso
item.page.dc.rights
Atribution 4.0 International (CC BY 4.0)
item.page.dc.rights
https://creativecommons.org/licenses/by/4.0/deed.es
Abstract
Background: When designing a treatment in orthodontics, especially for children and teenagers, it is crucial to be
aware of the changes that occur throughout facial growth because the rate and direction of growth can greatly afect
the necessity of using diferent treatment mechanics. This paper presents a Bayesian network approach for facial bio‑
type classifcation to classify patients’ biotypes into Dolichofacial (long and narrow face), Brachyfacial (short and wide
face), and an intermediate kind called Mesofacial, we develop a novel learning technique for tree augmented Naive
Bayes (TAN) for this purpose.
item.page.dc.description
Indexación: Scopus.
Keywords
Bayesian networks, Tree augmented Naive Bayes, Evolution Strategy, Facial biotypes, Orthodontic treatment planning
Citation
Journal of Human Kinetics, Volume 85, Issue 1, Pages 63 - 7321 December 2022
DOI
10.1186/s12911-022-02062-7