Memorias de investigación
Ponencias en congresos:
A New Method to Retrieve, Cluster And Annotate Clinical Literature Related To Electronic Health Records
Año:2011
Áreas de investigación
  • Inteligencia artificial,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
The access to medical literature collections such as PubMed, MedScape or Cochrane has been increased notably in the last years by the web-based tools that provide instant access to the information. However, more sophisticated methodologies are needed to exploit efficiently all that information. The lack of advanced search methods in clinical domain produce that even using well-defined questions for a particular disease, clinicians receive too many results. Since no information analysis is applied afterwards, some relevant results which are not presented in the top of the resultant collection could be ignored by the expert causing an important loose of information. In this work we present a new method to improve scientific article search using patient information for query generation. Using federated search strategy, it is able to simultaneously search in different resources and present a unique relevant literature collection. And applying NLP techniques it presents semantically similar publications together, facilitating the identification of relevant information to clinicians. This method aims to be the foundation of a collaborative environment for sharing clinical knowledge related to patients and scientific publications.
Internacional
Si
Nombre congreso
Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011), co-located with AIME 2011
Tipo de participación
960
Lugar del congreso
Bled, Slovenia
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
06/07/2011
Fecha fin congreso
06/07/2011
Desde la página
19
Hasta la página
26
Título de las actas
Proceedings of the Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011)
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial