Prediction of the Post-Pubertal Mandibular Length and Y Axis of Growth by Using Various Machine Learning Techniques: A Retrospective Longitudinal Study

The aim was to predict the post-pubertal mandibular length and Y axis of growth in males by using various machine learning (ML) techniques. Cephalometric data obtained from 163 males with Class I Angle malocclusion, were used to train various ML algorithms. Analysis of variances (ANOVA) was used to...

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Detalles Bibliográficos
Autores principales: Wood, Tyler, Anigbo, Justina O., Eckert, George, Stewart, Kelton T., Dundar, Mehmet Murat, Turkkahraman, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178146/
https://www.ncbi.nlm.nih.gov/pubmed/37174945
http://dx.doi.org/10.3390/diagnostics13091553

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10178146/
https://www.ncbi.nlm.nih.gov/pubmed/37174945
http://dx.doi.org/10.3390/diagnostics13091553

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