ArticleBMC medical informatics and decision making2015
SNOMED CT in a language isolate: an algorithm for a semiautomatic translation.
Article in BMC medical informatics and decision making, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Developing a Thai User Interface Terminology for Systematized Nomenclature of Medicine Clinical Terms Implementation in Primary Care: Cross-Sectional Content Coverage Analysis.JMIR medical informatics · 2026Article
- Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques.PeerJ. Computer science · 2020Article
- Building a Graph Representation of LOINCAMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Clinical Natural Language Processing in languages other than English: opportunities and challenges.Journal of biomedical semantics · 2018Review
- Representation of Time-Relevant Common Data Elements in the Cancer Data Standards Repository: Statistical Evaluation of an Ontological Approach.JMIR medical informatics · 2018Article
- Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes.BMC medical informatics and decision making · 2017Article
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Authors and funding
2 authors.
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Abstract
backgroundThe Systematized Nomenclature of Medicine--Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatically translate the SNOMED CT terminology content to Basque, a less resourced language is presented in this paper.
methodsA translation algorithm that has its basis in Natural Language Processing methods has been designed and partially implemented. The algorithm comprises four phases from which the first two have been implemented and quantitatively evaluated.
resultsResults are promising as we obtained the equivalents in Basque of 21.41% of the disorder terms of the English SNOMED CT release. As the methods developed are focused on that hierarchy, the results in other hierarchies are lower (12.57% for body structure descriptions, 8.80% for findings and 3% for procedures).
conclusionsWe are in the way to reach two of our objectives when translating SNOMED CT to Basque: to use our language to access rich multilingual resources and to strengthen the use of the Basque language in the biomedical area.
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