A New Method to Retrieve, Cluster And Annotate Clinical Literature Related To Electronic Health Records

Fernández, Izaskun; Jiménez Castellanos, Ana; García de Kortázar, Xabier y Pérez del Rey, David (2011). A New Method to Retrieve, Cluster And Annotate Clinical Literature Related To Electronic Health Records. En: "Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011)", 06/07/2011 - 06/07/2011, Bled, Eslovenia. pp. 19-26.

Descripción

Título: A New Method to Retrieve, Cluster And Annotate Clinical Literature Related To Electronic Health Records
Autor/es:
  • Fernández, Izaskun
  • Jiménez Castellanos, Ana
  • García de Kortázar, Xabier
  • Pérez del Rey, David
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011)
Fechas del Evento: 06/07/2011 - 06/07/2011
Lugar del Evento: Bled, Eslovenia
Título del Libro: Proceedings of the Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011)
Fecha: 2011
Materias:
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Inteligencia Artificial
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Más información

ID de Registro: 12875
Identificador DC: http://oa.upm.es/12875/
Identificador OAI: oai:oa.upm.es:12875
Depositado por: Memoria Investigacion
Depositado el: 13 Dic 2012 08:26
Ultima Modificación: 21 Abr 2016 12:12
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