Evaluating of traumatic brain injuries using artificial neural networks


GÜLER İ., Gokcil Z., GÜLBANDILAR E.

EXPERT SYSTEMS WITH APPLICATIONS, vol.36, no.7, pp.10424-10427, 2009 (Peer-Reviewed Journal) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 7
  • Publication Date: 2009
  • Doi Number: 10.1016/j.eswa.2009.01.036
  • Journal Name: EXPERT SYSTEMS WITH APPLICATIONS
  • Journal Indexes: Science Citation Index Expanded, Scopus
  • Page Numbers: pp.10424-10427
  • Keywords: Artificial neural networks, Traumatic brain injuries, Electroencephalogram, Trauma scores, Glasgow coma scores, EEG POWER SPECTRUM, INDEX

Abstract

The purpose of this study is to develop a diagnostic system to detect the severity of traumatic brain injuries using artificial neural networks. Three layered back propagation neural network with an input layer of 10 nodes whose output providing the inputs to a hidden layer was used. Thirty-two patients with traumatic brain injuries in different age and gender were taken in the study. Electroencephalography, Trauma and Glasgow coma scores were used for evaluating the data. The results obtained from the system were compared with the findings of neurologists. We found a significant relationship between the findings of neurologists and systems output for normal, mild, moderate and severe electroencephalography tracing data. Getting this system in routine use will lead to make a rapid decision for the degree of trauma with electroencephalography and revised trauma score. (C) 2009 Elsevier Ltd. All rights reserved.