Prediction of Pubertal Mandibular Growth in Males with Class II Malocclusion by Utilizing Machine Learning

The goal of this study was to create a novel machine learning (ML) model that can predict the magnitude and direction of pubertal mandibular growth in males with Class II malocclusion. Lateral cephalometric radiographs of 123 males at three time points (T1: 12; T2: 14; T3: 16 years old) were collect...

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Detalles Bibliográficos
Autores principales: Zakhar, Grant, Hazime, Samir, Eckert, George, Wong, Ariel, 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/PMC10453460/
https://www.ncbi.nlm.nih.gov/pubmed/37627972
http://dx.doi.org/10.3390/diagnostics13162713

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10453460/
https://www.ncbi.nlm.nih.gov/pubmed/37627972
http://dx.doi.org/10.3390/diagnostics13162713

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