Translating ICD-11 into French using lexical-based approach: a preliminary study
| Autor: | Merabti, Tayeb, Grosjean, Julien, Rodrigues, Jean-Marie, Darmoni, Stéfan Jacques |
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| Přispěvatelé: | Soualmia, Lina F, Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes (LITIS), Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie), Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Institut National des Sciences Appliquées (INSA)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Université Le Havre Normandie (ULH), Normandie Université (NU), Equipe Traitement de l'information en Biologie Santé (TIBS - LITIS), Normandie Université (NU)-Institut national des sciences appliquées Rouen Normandie (INSA Rouen Normandie) |
| Rok vydání: | 2015 |
| Předmět: |
International classification of diseases/classification
Automated methods Pilot Projects [INFO] Computer Science [cs] Translating Pattern Recognition Automated Semantics Biological Ontologies International Classification of Diseases Pattern recognition Terminology as Topic Data Mining [INFO]Computer Science [cs] France Data mining methods Natural Language Processing |
| Zdroj: | Studies in Health Technology and Informatics Studies in Health Technology and Informatics, IOS Press, 2015, 216, pp.1036 |
| ISSN: | 1879-8365 0926-9630 |
| Popis: | International audience; To translate the 11th edition of the International Classification of Diseases (ICD-11) into French, we proposed a lexical approach using Natural Language Processing techniques. This method relies on the 56 biomedical terminologies and ontologies included in the Cross-lingual Health Multiple Terminologies and Ontologies Portal. From a sample of 336 ICD-11 terms, the algorithm translated 164 (49%) terms into at least one French term each. |
| Databáze: | OpenAIRE |
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