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

Bektas, Firat; Eken, CENKER; Soyuncu, SEÇGİN; Kilicaslan, Isa; Cete, Yidiray

doi:10.1097/mej.0b013e3282fce7af

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

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

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

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
Akdeniz University Affiliated: Yes

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.