TermX: The semantic interoperability, knowledge management and sharing platform

Autor: Igor Bossenko, Gunnar Piho, Marina Ivanova, Peeter Ross

Publikováno v: SoftwareX, Vol 27, Iss , Pp 101839- (2024)

TermX is an open-source knowledge management and sharing platform, including a terminology server, a Wiki, a model designer, a transformation editor, and tools for authoring and publishing. The core development goals of TermX were to enhance the sema

Externí odkaz: https://doaj.org/article/e7af57f0c85640baa71c2ffffb44e09e

Integrating terminologies into standard SQL: a new approach for research on routine data

Autor: André Sander, Roland Wauer

Publikováno v: Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-11 (2019)

Abstract Background Most electronic medical records still contain large amounts of free-text data. Semantic evaluation of such data requires the data to be encoded with sufficient classifications or transformed into a knowledge-based database. Method

Externí odkaz: https://doaj.org/article/161629c87adc439c9f8bb23efe39ab5a

Qualitative Evaluation of a Drug Terminology Server

Autor: Ilan Zana, Julien Grosjean, Catherine Letord, Jean Charlet, Julien Rio, Elaï T.N. Darmoni, Catherine Duclos, Stéfan J. Darmoni

Publikováno v: MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation
MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation, IOS Press, 2022, Studies in Health Technology and Informatics, ⟨10.3233/SHTI220238⟩

International audience; Background: Although the drug is finished, identifiable, there is no universally accepted standard for naming them. The objective of this work is to evaluate qualitatively the HeTOP drug terminology server by two categories of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fd445112ce962f82b4b8f012cf7fc50
https://pubmed.ncbi.nlm.nih.gov/35673176

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Integrating terminologies into standard SQL: a new approach for research on routine data

Autor: Roland R. Wauer, André Sander

Publikováno v: Journal of Biomedical Semantics
Journal of Biomedical Semantics, Vol 10, Iss 1, Pp 1-11 (2019)

Background Most electronic medical records still contain large amounts of free-text data. Semantic evaluation of such data requires the data to be encoded with sufficient classifications or transformed into a knowledge-based database. Methods We pres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a45e5a0a220f72b83b47bacfa9639ec
http://europepmc.org/articles/PMC6480592