Short- and Long-Term Prediction of the Post-Pubertal Mandibular Length and Y-Axis in Females Utilizing Machine Learning

The aim of this study was to create a novel machine learning (ML) algorithm for predicting the post-pubertal mandibular length and Y-axis in females. Cephalometric data from 176 females with Angle Class I occlusion were used to train and test seven ML algorithms. For all ML methods tested, the mean...

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Detalles Bibliográficos
Autores principales: Parrish, Matthew, O’Connell, Ella, Eckert, George, Hughes, Jay, Badirli, Sarkhan, Turkkahraman, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486405/
https://www.ncbi.nlm.nih.gov/pubmed/37685267
http://dx.doi.org/10.3390/diagnostics13172729

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486405/
https://www.ncbi.nlm.nih.gov/pubmed/37685267
http://dx.doi.org/10.3390/diagnostics13172729

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