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
From Concept Representations to Ontologies: A Paradigm Shift in Health Informatics?
Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
European Centre for Disease Prevention and Control, Stockholm, Sweden.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
2013 (English)In: Healthcare informatics research, ISSN 2093-3681, Vol. 19, no 4, 235-242 p.Article in journal (Refereed) Published
Abstract [en]

OBJECTIVES: This work aims at uncovering challenges in biomedical knowledge representation research by providing an understanding of what was historically called "medical concept representation" and used as the name for a working group of the International Medical Informatics Association.

METHODS: Bibliometrics, text mining, and a social media survey compare the research done in this area between two periods, before and after 2000.

RESULTS: Both the opinion of socially active groups of researchers and the interpretation of bibliometric data since 1988 suggest that the focus of research has moved from "medical concept representation" to "medical ontologies".

CONCLUSIONS: It remains debatable whether the observed change amounts to a paradigm shift or whether it simply reflects changes in naming, following the natural evolution of ontology research and engineering activities in the 1990s. The availability of powerful tools to handle ontologies devoted to certain areas of biomedicine has not resulted in a large-scale breakthrough beyond advances in basic research.

Place, publisher, year, edition, pages
2013. Vol. 19, no 4, 235-242 p.
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-107073DOI: 10.4258/hir.2013.19.4.235PubMedID: 24523987OAI: oai:DiVA.org:liu-107073DiVA: diva2:721587
Available from: 2014-06-04 Created: 2014-06-04 Last updated: 2017-02-21Bibliographically approved

Open Access in DiVA

fulltext(574 kB)260 downloads
File information
File name FULLTEXT01.pdfFile size 574 kBChecksum SHA-512
33aed79957c1c7c39184901d3ccafb71288ccf383c618d6f9d29ea1983010a1114964d062913619c992caa222956ade1f96b82e7d49b4313710f99d8e84f4729
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Authority records BETA

Cornet, Ronald

Search in DiVA

By author/editor
Cornet, Ronald
By organisation
Medical InformaticsThe Institute of Technology
Other Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 260 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 248 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