Facial biotype classification for orthodontic treatment planning using an alternative learning algorithm for tree augmented Naive Bayes
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Archivos
Fecha
2022-12
Profesor/a Guía
Facultad/escuela
Idioma
en
Título de la revista
ISSN de la revista
Título del volumen
Editor
BioMed Central Ltd
Nombre de Curso
Licencia CC
Atribution 4.0 International (CC BY 4.0)
Licencia CC
https://creativecommons.org/licenses/by/4.0/deed.es
Resumen
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.
Notas
Indexación: Scopus.
Palabras clave
Bayesian networks, Tree augmented Naive Bayes, Evolution Strategy, Facial biotypes, Orthodontic treatment planning
Citación
Journal of Human Kinetics, Volume 85, Issue 1, Pages 63 - 7321 December 2022
DOI
10.1186/s12911-022-02062-7