Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A New Method to Retrieve, Cluster And Annotate Clinical Literature Related To Electronic Health Records
Year:2011
Research Areas
  • Artificial intelligence,
  • Information technology and adata processing
Information
Abstract
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.
International
Si
Congress
Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011), co-located with AIME 2011
960
Place
Bled, Slovenia
Reviewers
Si
ISBN/ISSN
1613-0073
Start Date
06/07/2011
End Date
06/07/2011
From page
19
To page
26
Proceedings of the Third International Workshop on Health Document Text Mining and Information Analysis (LOUHI 2011)
Participants
  • Autor: David Perez Del Rey (UPM)
  • Autor: Ana Jiménez Castellanos (UPM)
  • Autor: Izaskun Fernandez
  • Autor: Xabier Garcia de Kortazar
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)