Article: Prediction of the Post-Pubertal Mandibular Length and Y Axis of Growth by Using Various Machine Learning Techniques: A Retrospective Longitudinal Study.
Diagnostics (Basel, Switzerland)
2023 Volume 13, Issue 9
Abstract: The aim was to predict the post-pubertal mandibular length and Y axis of growth in males by using ... When predicting the Y axis of growth, accuracies ranged from 96.60% to 98.34%. There was no significant ...
Abstract | 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 compare the differences between predicted and actual measurements among methods and between time points. All the algorithms revealed an accuracy range from 95.80% to 97.64% while predicting post-pubertal mandibular length. When predicting the Y axis of growth, accuracies ranged from 96.60% to 98.34%. There was no significant interaction between methods and time points used for predicting the mandibular length ( |
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Language | English |
Publishing date | 2023-04-26 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2662336-5 |
ISSN | 2075-4418 |
ISSN | 2075-4418 |
DOI | 10.3390/diagnostics13091553 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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