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

Short- and Long-Term Prediction of the Post-Pubertal Mandibular Length and <i>Y</i>-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 <i>Y</i>-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 method...

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Bibliographic Details
Main Authors: Matthew Parrish, Ella O’Connell, George Eckert, Jay Hughes, Sarkhan Badirli, Hakan Turkkahraman
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Diagnostics
Subjects:
artificial intelligence
neural network
regression algorithm
growth and development
mandible
Online Access:https://www.mdpi.com/2075-4418/13/17/2729

Internet

https://www.mdpi.com/2075-4418/13/17/2729

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