Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese.

Journal: Journal of biomedical semantics
Published Date: Nov 12, 2019

Abstract

BACKGROUND: There is an increasing amount of unstructured medical data that can be analysed for different purposes. However, information extraction from free text data may be particularly inefficient in the presence of spelling errors. Existing approaches use string similarity methods to search for valid words within a text, coupled with a supporting dictionary. However, they are not rich enough to encode both typing and phonetic misspellings.

Authors

  • Hegler Tissot
    Institute of Health Informatics, University College London, London, UK. h.tissot@ucl.ac.uk.
  • Richard Dobson
    King's College London, Institute of Psychiatry, NIHR Biomedical Research Centre for Mental Health at the South London and Maudsley NHS Foundation Trust, London, UK King's College London, Institute of Psychiatry, NIHR Biomedical Research Unit for Dementia at the South London and Maudsley NHS Foundation Trust, London, UK.

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