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Translating ICD-11 into French using lexical-based approach: a preliminary study

Tayeb Merabti 1, 2 Julien Grosjean 1 Jean-Marie Rodrigues Stéfan Jacques Darmoni 1, 2
1 LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
2 TIBS - LITIS - Equipe Traitement de l'information en Biologie Santé
LITIS - Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes
Abstract : 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.
Keywords : Data mining methods Biological ontologies Natural language processing Pattern recognition Automated methods Pilot projects Semantics Terminology as topic Translating International classification of diseases/classification
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Journal articles
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https://hal.archives-ouvertes.fr/hal-02103587
Contributor : Lina F Soualmia <>
Submitted on : Thursday, April 18, 2019 - 3:22:19 PM
Last modification on : Thursday, December 12, 2019 - 2:12:08 PM

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  • HAL Id : hal-02103587, version 1
  • PUBMED : 26262335

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LITIS | COMUE-NORMANDIE | INSA-ROUEN | UNIROUEN | UNILEHAVRE | INSA-GROUPE

Citation

Tayeb Merabti, Julien Grosjean, Jean-Marie Rodrigues, Stéfan Jacques Darmoni. Translating ICD-11 into French using lexical-based approach: a preliminary study. Studies in Health Technology and Informatics, IOS Press, 2015, 216, pp.1036. ⟨hal-02103587⟩

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