Mandibular shape prediction model using machine learning techniques.

Journal: Clinical oral investigations
Published Date:

Abstract

OBJECTIVE: To create a mandibular shape prediction model using machine learning techniques and geometric morphometrics.

Authors

  • Tania Camila Niño-Sandoval
    Universidad Nacional de Colombia - Bogotá. Faculty of Dentistry, Oral Health Department. Master of Dentistry. Craniofacial Growth and Development Research Group. Genetics Institute, Cll 53 - Cra. 37 Ed. 426 Of. 213. Bogotá Colombia. Electronic address: kotc2578@gmail.com.
  • Robinson Andrés Jaque
    Universidad Nacional de Colombia - Bogotá, Faculty of Engineering, Computing Systems and Industrial Engineering Department, MindLab Research Group, Carrera 30 45-03, Bogotá Colombia. Electronic address: rajaquep@unal.edu.co.
  • Fabio A González
    Machine Learning, Perception and Discovery Lab, Systems and Computer Engineering Department, Universidad Nacional de Colombia, Faculty of Engineering, Cra 30 No 45 03-Ciudad Universitaria, Building 453 Office 114, Bogotá DC, Colombia. Electronic address: fagonzalezo@unal.edu.co.
  • Belmiro C E Vasconcelos
    Department of Oral and Maxillofacial Surgery and Traumatology, Coordinator of the Postgraduate Program in Oral and Maxillofacial Surgery and Traumatology, University of Pernambuco - School of Dentistry (UPE/FOP), University Hospital Oswaldo Cruz, Rua Arnóbio Marquês, 310 - Santo Amaro, CEP: 50.100-130, Recife, PE, Brazil. belmiro.vasconcelos@upe.br.