A validated natural language processing algorithm for brain imaging phenotypes from radiology reports in UK electronic health records.

Journal: BMC medical informatics and decision making
Published Date: Sep 9, 2019

Abstract

BACKGROUND: Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports performed in routine clinical practice in the UK National Health Service (NHS).

Authors

  • Emily Wheater
    Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
  • Grant Mair
    Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK.
  • Cathie Sudlow
    Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
  • Beatrice Alex
    The Alan Turing Institute, British Library, 96 Euston Road, London, UK.
  • Claire Grover
    The Alan Turing Institute, British Library, 96 Euston Road, London, UK.
  • William Whiteley
    Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK. william.whiteley@ed.ac.uk.

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