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, cilt.15, sa.6, ss.318-323, 2008 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 15 Sayı: 6
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1097/mej.0b013e3282fce7af
  • Dergi Adı: EUROPEAN JOURNAL OF EMERGENCY MEDICINE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.318-323
  • Anahtar Kelimeler: artificial neural network, craniocervical junction injury, trauma, CERVICAL-SPINE, HEAD, FRACTURES
  • Gazi Üniversitesi Adresli: Hayır

Özet

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.