title: Natural language processing of medical texts within the HELIOS environment.
abstract: A large number of hospital applications are potentially interested in natural language processing since they currently heavily depend on an efficient use of a huge amount of textual information. The need for systems that are able to accept multiple European languages is of paramount interest, as language barriers can be a strong impediment for large-scale communication in Europe, in particular regarding telemedicine. In the context of the AIM project HELIOS, the Natural Language Processing (NLP) component offers a large variety of medical services according to natural language free input. It allows the multilingual analysis of medical texts (currently in English, French and German) and the storage of the meaning of these texts under a deep knowledge representation that can be queried whenever it is needed. In addition, it provides facilities to handle knowledge source embedded into the conceptual typologies and into the dictionaries. This article aims at describing all these functionalities and their integration into the environment of the HELIOS project.
authors.affiliation: Hospital Informatics Center, Geneva University Hospital, Switzerland.
authors.forename: A M
authors.initials: AM
authors.lastname: Rassinoux
authors.forename: P A
authors.initials: PA
authors.lastname: Michel
authors.forename: C
authors.initials: C
authors.lastname: Juge
authors.forename: R
authors.initials: R
authors.lastname: Baud
authors.forename: J R
authors.initials: JR
authors.lastname: Scherrer
mesh_terms: D001185:Artificial Intelligence; D003196:Computer Graphics; D007256:Information Systems; D007802:Language; D009323:Natural Language Processing; D012984:Software; D012985:Software Design; D018511:Systems Integration; D013782:Textbooks as Topic