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, cilt.70, sa.1, ss.51-59, 2012 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 70 Sayı: 1
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.joms.2011.03.069
  • Dergi Adı: JOURNAL OF ORAL AND MAXILLOFACIAL SURGERY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.51-59
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

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.