Abstract: This research aimed to determine if the neural network technique can be used to diagnose mild traumatic brain injury (mTBI) in children and adolescents three months after the injury has occurred based on a short quality of life questionnaire. Our results indicated that a mTBI injury could be identified with high sensitivity and specificity, suggesting that the neural network approach may be a useful technique to support clinical decision making in the post-injury diagnosis of TBI.

Learning Objective 1: To understand the applicability and performance of neural networks in the identification of disease states from clinical signs and symptoms, specifically the retrospective identification of traumatic brain injury in children and adolescents.


Kevin Wilson (Presenter)
RTI International

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