Machine learning-based decision support system for orthognathic diagnosis and treatment planning.

ABSTRACT:

Background

Dento-maxillofacial deformities are common problems. Orthodontic-orthognathic surgery is the primary treatment but accurate diagnosis and careful surgical planning are essential for optimum outcomes. This study aimed to establish and verify a machine learning-based decision support system for treatment of dento-maxillofacial malformations.

Methods

Patients (n = 574) with dento-maxillofacial deformities undergoing spiral CT during January 2015 to August 2020 were enrolled to train diagnostic models based on five different machine learning algorithms; the diagnostic performances were compared with expert diagnoses. Accuracy, sensitivity, specificity, and area under the curve (AUC) were calculated. The adaptive artificial bee colony algorithm was employed to formulat

SUBMITTER: Du W 

PROVIDER: S-EPMC10902963 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature