Machine Learning Analysis of the Anatomical Parameters of the Upper Airway Morphology: A Retrospective Study from Cone-Beam CT Examinations in a French Population

The objective of this study is to assess, using cone-beam CT (CBCT) examinations, the correlation between hard and soft anatomical parameters and their impact on the characteristics of the upper airway using symbolic regression as a machine learning strategy. Methods: On each CBCT, the upper airway...

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Detalles Bibliográficos
Autores principales: de Bataille, Caroline, Bernard, David, Dumoncel, Jean, Vaysse, Frédéric, Cussat-Blanc, Sylvain, Telmon, Norbert, Maret, Delphine, Monsarrat, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820916/
https://www.ncbi.nlm.nih.gov/pubmed/36614885
http://dx.doi.org/10.3390/jcm12010084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9820916/
https://www.ncbi.nlm.nih.gov/pubmed/36614885
http://dx.doi.org/10.3390/jcm12010084

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