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 (Journal Indexed in SCI) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 15 Issue: 6
  • Publication Date: 2008
  • Doi Number: 10.1097/mej.0b013e3282fce7af
  • Title of Journal : EUROPEAN JOURNAL OF EMERGENCY MEDICINE
  • Page Numbers: pp.318-323

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.