title: A multi-lingual architecture for building a normalised conceptual representation from medical language.
abstract: The overall goal of MENELAS is to provide better access to the information contained in natural language patient discharge summaries (PDSs), through the design and implementation of a prototype able to analyse medical texts. The approach taken by MENELAS is based on the following key principles: (i) to maximise the usefulness of natural language analysis and the usability of its results, the output of natural language analysis must be a normalised conceptual representation of medical information; and (ii) to maximise the reuse of resources, language analysis should be domain-independent and conceptual representation should be language-independent. This paper discusses the results obtained and the issues raised when implementing these principles during the project.
authors.affiliation: DIAM--INSERM U.194, Hôpitaux de Paris.
authors.forename: P
authors.initials: P
authors.lastname: Zweigenbaum
authors.forename: B
authors.initials: B
authors.lastname: Bachimont
authors.forename: J
authors.initials: J
authors.lastname: Bouaud
authors.forename: J
authors.initials: J
authors.lastname: Charlet
authors.forename: J F
authors.initials: JF
authors.lastname: Boisvieux
mesh_terms: D001185:Artificial Intelligence; D003199:Computer Systems; D006801:Humans; D016247:Information Storage and Retrieval; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D010351:Patient Discharge; D014584:User-Computer Interface; D018875:Vocabulary, Controlled