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Entity Recognition of Pharmaceutical Drugs in Swedish Clinical Text
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2012 (English)In: Proceedings of the Conference, 2012, 77-78 p.Conference paper, Published paper (Refereed)
Abstract [en]

An entity recognition system for expressions of pharmaceutical drugs, based on vocabulary lists from FASS, the Medical Subject Headings and SNOMED~CT, achieved a precision of 94\% and a recall of 74\% when evaluated on assessment texts from Swedish emergency unit health records.

Place, publisher, year, edition, pages
2012. 77-78 p.
Keyword [en]
Named entity recogntion, pharmaceutical drugs, clinical text
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-82232OAI: oai:DiVA.org:su-82232DiVA: diva2:567209
Conference
The fourth Swedish Language Technology Conference (SLTC 2012), Lund, 24-26 October 2012
Available from: 2012-11-12 Created: 2012-11-12 Last updated: 2013-02-21Bibliographically approved

Open Access in DiVA

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Other links

http://people.dsv.su.se/~hercules/papers/ul_Muntaha_et_al_2012_Entity_Recognition_of_Pharmaceutical_Drugs_in_Swedish_Clinical_Text.pdf

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Skeppstedt, MariaKvist, MariaDalianis, Hercules
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CiteExportLink to record
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Citation style
  • apa
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