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

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.

Mots clés: Biological ontologies; Data mining methods; International classification of diseases/classification; Natural language processing; Translating; Pattern recognition; Automated methods; Pilot projects; Semantics; Terminology as topic

Domaines: Informatique [cs]

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, 2015, 216, pp.1036. ⟨hal-02103587⟩