Artificial neural network in predicting craniocervical junction injury: an alternative approach to trauma patients

Bektas F., Eken C., Soyuncu S., Kilicaslan İ., Cete Y.

EUROPEAN JOURNAL OF EMERGENCY MEDICINE, vol.15, no.6, pp.318-323, 2008 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 6
  • Publication Date: 2008
  • Doi Number: 10.1097/mej.0b013e3282fce7af
  • Journal Name: EUROPEAN JOURNAL OF EMERGENCY MEDICINE
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.318-323
  • Keywords: artificial neural network, craniocervical junction injury, trauma, CERVICAL-SPINE, HEAD, FRACTURES
  • Gazi University Affiliated: No

Abstract

Objective The aim of this study is to determine the efficiency of artificial intelligence in detecting craniocervical junction injuries by using an artificial neural network (ANN) that may be applicable in future studies of different traumatic injuries.