Predicting the Risk of Maxillary Canine Impaction Based on Maxillary Measurements Using Supervised Machine Learning.

Abstract

Authors

• Cristiano Miranda de Araujo
  Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
• Pedro Felipe de Jesus Freitas
  School of Dentistry, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
• Aline Xavier Ferraz
  Postgraduate Program in Human Communication Health, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
• Patricia Kern Di Scala Andreis
  Graduate Program in Dentistry, Department of Orthodontics, Pontifícia Universidade Católica Do Paraná, Curitiba, Brazil.
• Michelle Nascimento Meger
  School of Dentistry, Tuiuti University of Paraná, Curitiba, Paraná, Brazil.
• Flares Baratto-Filho
  University of the Region of Joinville (Univille), Joinville, Santa Catarina, Brazil.
• Cesar Augusto Rodenbusch Poletto
  Graduate Program in Dentistry, Department of Dental Radiology, Centro Universitário Unifacvest, Curitiba, Brazil.
• Erika Calvano Küchler
  Department of Orthodontics, Medical Faculty, University Hospital Bonn, Bonn, Germany.
• Elisa Souza Camargo
  Graduate Program in Dentistry, Orthodontics, Pontifícia Universidade Católica do Paraná, Curitiba, Brazil.
• Ângela Graciela Deliga Schroder
  School of Dentistry, Tuiuti University of Paraná, Curitiba, Brazil.

Keywords

External Resources