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Shallow linguistic analysis of a large corpus of drug prescriptions.
Örebro University, Örebro University School of Business. Karolinska institute, Stockholm, Sweden. (eHälsa)ORCID iD: 0000-0002-1337-2394
2002 (English)In: Health data in the information society: proceedings of MIE2002 / [ed] Surján, György; Engelbrecht, Rolf ; McNair, Peter, Amsterdam: IOS Press, 2002, Vol. 90, 411-415 p.Conference paper, Published paper (Refereed)
Abstract [en]

We report on first experiences from linguistic analyses of patient instructions from 19,8404 actual drug prescriptions regarding seven pharmaceutical products frequently prescribed in Sweden. The analysis includes expressions for amount, dose unit, dose interval, mode of administration, purpose and a few further details. Even simple processing seems useful to extract information from these short, rather formal text strings. We estimate the potential for calculation of prescribed dose from this material, and collected material gives a good starting point for more advanced linguistic analyses.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2002. Vol. 90, 411-415 p.
Series
Studies in health technology and informatics, ISSN 0926-9630 ; 90
National Category
Other Health Sciences
Research subject
Informatics
Identifiers
URN: urn:nbn:se:oru:diva-41757PubMedID: 15460727ISBN: 1-58603-279-8 (print)OAI: oai:DiVA.org:oru-41757DiVA: diva2:791823
Conference
International Congress on Medical Informatics (17th : 2002 : Budapest, Hungary)
Available from: 2015-03-02 Created: 2015-01-15 Last updated: 2017-10-17Bibliographically approved

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Klein, Gunnar O
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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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  • Other locale
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  • asciidoc
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