Use of Artificial Neural Network in Differentiation of Subgroups of Temporomandibular Internal Derangements: A Preliminary Study

Baş Akkor, Burcu; Özgönenel, Okan; Ozden, Bora; Bekcioglu, Burak; Bulut, Emel; Kurt, Murat

doi:10.1016/j.joms.2011.03.069

Use of Artificial Neural Network in Differentiation of Subgroups of Temporomandibular Internal Derangements: A Preliminary Study

Baş Akkor B., Özgönenel O., Ozden B., Bekcioglu B., Bulut E., Kurt M.

JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY, vol.70, no.1, pp.51-59, 2012 (SCI-Expanded, Scopus)

Publication Type: Article / Article
Volume: 70 Issue: 1
Publication Date: 2012
Doi Number: 10.1016/j.joms.2011.03.069
Journal Name: JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY
Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Page Numbers: pp.51-59
Ondokuz Mayıs University Affiliated: Yes

Abstract

Purpose: Artificial neural networks (ANNs) have been developed in the past few decades for many different applications in medical science and in biomedical research. The use of neural networks in oral and maxillofacial surgery is limited. The aim of this study was to determine the use of ANNs for the prediction of 2 subgroups of temporomandibular joint (TMJ) internal derangements (IDs) and normal joints using characteristic clinical signs and symptoms of the diseases.