Use of artificial neural network in differentiation of subgroups of temporomandibular internal derangements: a preliminary study.

@article{Ba2012UseOA,
  title={Use of artificial neural network in differentiation of subgroups of temporomandibular internal derangements: a preliminary study.},
  author={Burcu Baş and O. Ozgonenel and Bora Ozden and Burak Bekçioğlu and Emel Uzun Bulut and Murat Kurt},
  journal={Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons},
  year={2012},
  volume={70 1},
  pages={51-9}
}
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. MATERIALS AND METHODS… CONTINUE READING