Sex determination through maxillary dental arch and skeletal base measurements using machine learning.

ABSTRACT:

Background

Cranial, facial, nasal, and maxillary widths have been shown to be significantly affected by the individual's sex. The present study aims to use measurements of dental arch and maxillary skeletal base to determine sex, employing supervised machine learning.

Materials and methods

Maxillary and mandibular tomographic examinations from 100 patients were analyzed to investigate the inter-premolar width, inter-molar width, maxillary width, inter-pterygoid width, nasal cavity width, nostril width, and maxillary length, obtained through Cone Beam Computed Tomography scans. The following machine learning algorithms were used to build the predictive models: Logistic Regression, Gradient Boosting Classifier, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multi-Lay

SUBMITTER: de Araujo CM 

PROVIDER: S-EPMC11363530 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature