Automated Outcome Classification of Computed Tomography Imaging Reports for Pediatric Traumatic Brain Injury.

Journal: Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
Published Date: Feb 1, 2016

Abstract

BACKGROUND: The authors have previously demonstrated highly reliable automated classification of free-text computed tomography (CT) imaging reports using a hybrid system that pairs linguistic (natural language processing) and statistical (machine learning) techniques. Previously performed for identifying the outcome of orbital fracture in unprocessed radiology reports from a clinical data repository, the performance has not been replicated for more complex outcomes.

Authors

  • Kabir Yadav
    Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, CA.
  • Efsun Sarioglu
    Computer Science Department, Portland State University, Portland, OR.
  • Hyeong Ah Choi
    Computer Science Department, The George Washington University, Washington, DC.
  • Walter B Cartwright
    Howard University School of Medicine, Washington, DC.
  • Pamela S Hinds
    Children's Research Institute, Washington, DC.
  • James M Chamberlain
    Division of Emergency Medicine, Children's National Health System, Washington, DC.

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