Memorias de investigación
Artículos en revistas:
Acronym disambiguation in spanish electronic health narratives using machine learning techniques
Año:2017

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
Electronic Health Records (EHRs) are now being massively used in hospitals what has motivated current developments of new methods to process clinical narratives (unstructured data) making it possible to perform context-based searches. Current approaches to process the unstructured texts in EHRs are based in applying text mining or natural language processing (NLP) techniques over the data. In particular Named Entity Recognition (NER) is of paramount importance to retrieve specific biomedical concepts from the text providing the semantic type of the concept retrieved. However, it is very common that clinical notes contain lots of acronyms that cannot be identified by NER processes and even if they are identified, an acronym may correspond to several meanings, so disambiguation of the found term is needed. In this work we provide an approach to perform acronym ?
Internacional
Si
JCR del ISI
No
Título de la revista
Studies in health technology and informatics
ISSN
978-1-61499-752-8
Factor de impacto JCR
Información de impacto
Volumen
235
DOI
10.3233/978-1-61499-753-5-251
Número de revista
Desde la página
251
Hasta la página
255
Mes
MAYO
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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos