Use of X means and C4.5 algorithms on lateral cephalometric measurements to identify craniofacial patterns.
Journal:
BMC oral health
Published Date:
Jul 26, 2025
Abstract
BACKGROUND: Craniofacial phenotyping is essential for individualized orthodontic diagnosis and treatment planning. Traditional skeletal classifications, such as the ANB angle, may oversimplify complex relationships among malocclusion types. Machine learning-based unsupervised methods may allow for more nuanced sub-phenotypic classification.
