Use of automated learning techniques for predicting mandibular morphology in skeletal class I, II and III.

Autor: Niño-Sandoval TC; 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., Guevara Pérez SV; Universidad Nacional de Colombia - Sede Bogotá, Faculty of Dentistry, Oral Health Department-Orthodontics, Craniofacial Growth and Development Research Group, 11001 Bogotá, Colombia. Electronic address: svguevarap@unal.edu.co., González FA; Universidad Nacional de Colombia - Bogotá, Faculty of Engineering, Computing Systems and Industrial Engineering Department, MindLab Research Group, Carrera 30 N° 45-03, Bogotá, Colombia. Electronic address: fagonzalezo@unal.edu.co., Jaque RA; Universidad Nacional de Colombia - Bogotá, Faculty of Engineering, Computing Systems and Industrial Engineering Department, MindLab Research Group, Carrera 30 N° 45-03, Bogotá, Colombia. Electronic address: rajaquep@unal.edu.co., Infante-Contreras C; 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: ccontrerasi@unal.edu.co.

Publikováno v: Forensic science international [Forensic Sci Int] 2017 Dec; Vol. 281, pp. 187.e1-187.e7. Date of Electronic Publication: 2017 Oct 12.