Evaluation of different machine learning algorithms for extraction decision in orthodontic treatment.

Journal: Orthodontics & craniofacial research
PMID:

Abstract

INTRODUCTION: The extraction decision significantly affects the treatment process and outcome. Therefore, it is crucial to make this decision with a more objective and standardized method. The objectives of this study were (1) to identify the best-performing model among seven machine learning (ML) models, which will standardize the extraction decision and serve as a guide for inexperienced clinicians, and (2) to determine the important variables for the extraction decision.

Authors

  • Begüm Köktürk
    Department of Orthodontics, Faculty of Dentistry, Başkent University, Ankara, Turkey.
  • Hande Pamukçu
    Department of Orthodontics, Faculty of Dentistry, Başkent University, Ankara, Turkey.
  • Ömer Gözüaçık
    Independent Researcher, Ankara, Turkey.