Automatic acquisition of synonyms from French UMLS for enhanced search of EHRs.
Stud Health Technol Inform
; 136: 809-14, 2008.
Article
en En
| MEDLINE
| ID: mdl-18487831
ABSTRACT
Currently, the use of Natural Language Processing (NLP) approaches in order to improve search and exploration of electronic health records (EHRs) within healthcare information systems is not a common practice. One reason for this is the lack of suitable lexical resources various types of such resources need to be collected or acquired. In this work, we propose a novel method for the acquisition of synonymous resources. This method is language-independent and relies on existence of structured terminologies. It enables to decipher hidden synonymous relations between simple words and terms on the basis of their syntactic analysis and exploitation of their compositionality. Applied to series of synonym terms from the French subset of the UMLS, the method shows 99% precision. The overlap between thus inferred terms and the existing sparse resources of synonyms is very low.
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Colección:
01-internacional
Base de datos:
MEDLINE
Contexto en salud:
1_ASSA2030
Problema de salud:
1_sistemas_informacao_saude
Asunto principal:
Procesamiento de Lenguaje Natural
/
Almacenamiento y Recuperación de la Información
/
Sistemas de Registros Médicos Computarizados
/
Vocabulario Controlado
/
Multilingüismo
País/Región como asunto:
Europa
Idioma:
En
Revista:
Stud Health Technol Inform
Asunto de la revista:
INFORMATICA MEDICA
/
PESQUISA EM SERVICOS DE SAUDE
Año:
2008
Tipo del documento:
Article
País de afiliación:
Francia