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

Tissot, H; Dobson, R; (2019) Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese. Journal of Biomedical Semantics , 10 (Suppl 1) , Article 17. 10.1186/s13326-019-0216-2. Green open access

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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. RESULTS Experimental results showed a joint string and language-dependent phonetic similarity is more accurate than traditional string distance metrics when identifying misspelt names of drugs in a set of medical records written in Portuguese. CONCLUSION We present a hybrid approach to efficiently perform similarity match that overcomes the loss of information inherit from using either exact match search or string based similarity search methods.

Type: Article
Title: Combining string and phonetic similarity matching to identify misspelt names of drugs in medical records written in Portuguese
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1186/s13326-019-0216-2
Publisher version: https://doi.org/10.1186/s13326-019-0216-2
Language: English
Additional information: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Phonetic similarity, Similarity search, Misspelt names of drugs
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/10087303
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