liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Semantic Krippendorff’s α for measuring inter-rater agreement in SNOMED CT coding studies
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. (eHealth)
Department of Health Science and Technology, Aalborg University.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. (eHealth)
Department of Health Science and Technology, Aalborg University.
2014 (English)In: e-Health – For Continuity of Care / [ed] Christian Lovis, et al., Amsterdam, 2014, p. 151-155Conference paper, Published paper (Refereed)
Abstract [en]

Semantic interoperability requires consistency in use of terminologies such as SNOMED CT. Inter-rater agreement measurement can be used to quantify this consistency among terminology users. Increasingly, studies of SNOMED CT include inter-rater agreement measures. However, published studies do not consider distance between concepts when calculating the inter-rater agreement measures. In this paper we propose a semantic inter-rater agreement measure for use with SNOMED CT encoded data. A semantic Krippendorff's α measure is implemented using a path-length based difference function. The measure is tested using three different datasets. Results show that the proposed semantic measure is sensitive to seriousness of coding differences whereas a nominal measure is not. The proposed measure reflects the intuition that distance matters when comparing uses of SNOMED CT.

Place, publisher, year, edition, pages
Amsterdam, 2014. p. 151-155
Series
Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365 ; 205
National Category
Information Systems
Identifiers
URN: urn:nbn:se:liu:diva-119393DOI: 10.3233/978-1-61499-432-9-151PubMedID: 25160164ISBN: 978-1-61499-431-2 (print)ISBN: 978-1-61499-432-9 (print)OAI: oai:DiVA.org:liu-119393DiVA, id: diva2:821978
Conference
MIE2014
Available from: 2015-06-16 Created: 2015-06-16 Last updated: 2018-02-02

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMed

Authority records BETA

Karlsson, DanielÖrman, Håkan

Search in DiVA

By author/editor
Karlsson, DanielÖrman, Håkan
By organisation
Medical InformaticsFaculty of Science & Engineering
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
isbn
urn-nbn

Altmetric score

doi
pubmed
isbn
urn-nbn
Total: 163 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf