Literature DB >> 22874333

Teaching medicine with a terminology/ontology portal.

Julien Grosjean1, Tayeb Merabti, Nicolas Griffon, Badisse Dahamna, Stéfan J Darmoni.   

Abstract

UNLABELLED: The Health Terminology/Ontology Portal (HeTOP) was developed to provide easy access to health terminologies and ontologie. The repository is not only dedicated to professionals but is also a valuable teaching tool. Currently, it provides access to thirty two health terminologies and ontologies available mainly in French or in English, but also in German, Italian, Chinese, etc. HeTOP can be used by both humans and computers via Web services. To integrate new resources into HeTOP, three steps are necessary: (1) designing a meta-model into which each terminology (or ontology) can be integrated, (2) developing a process to include terminologies into HeTOP, (3) building and integrating existing and new inter & intra-terminology semantic harmonization into HeTOP. Currently, 600 unique machines use the MeSH version of HeTOP every day and restricted terminologies/ontologies are used for teaching purposes in several medical schools in France. The multilingual version of HeTOP is available (URL: http://hetop.eu/) and provides free access to ICD10 and FMA in ten languages.
CONCLUSION: HeTOP is a rich tool, useful for a wide range of applications and users, especially in education and resource indexing but also in information retrieval or performing audits in terminology management.

Entities:  

Mesh:

Year:  2012        PMID: 22874333

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  A search engine to access PubMed monolingual subsets: proof of concept and evaluation in French.

Authors:  Nicolas Griffon; Matthieu Schuers; Lina Fatima Soualmia; Julien Grosjean; Gaétan Kerdelhué; Ivan Kergourlay; Badisse Dahamna; Stéfan Jacques Darmoni
Journal:  J Med Internet Res       Date:  2014-12-01       Impact factor: 5.428

2.  Searching for rare diseases in PubMed: a blind comparison of Orphanet expert query and query based on terminological knowledge.

Authors:  N Griffon; M Schuers; F Dhombres; T Merabti; G Kerdelhué; L Rollin; S J Darmoni
Journal:  BMC Med Inform Decis Mak       Date:  2016-08-02       Impact factor: 2.796

3.  Evaluation of Doc'EDS: a French semantic search tool to query health documents from a clinical data warehouse.

Authors:  Thibaut Pressat-Laffouilhère; Pierre Balayé; Badisse Dahamna; Romain Lelong; Kévin Billey; Stéfan J Darmoni; Julien Grosjean
Journal:  BMC Med Inform Decis Mak       Date:  2022-02-08       Impact factor: 3.298

  3 in total

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