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Memorias de investigación
Ponencias en congresos:
Building an Index of Nanomedical Resources: An Automatic Approach based on Text Mining
Año:2008
Áreas de investigación
  • Inteligencia artificial,
  • Lenguaje de programación
Datos
Descripción
Nanomedicine is an emerging discipline aimed to applying recent developments in nanotechnology to the medical domain. In recent years, there has been an exponential growth of the number of available nanomedical resources. The latter are aimed to different tasks and include databases, nanosensors, implantable materials, etc. This leads to the necessity of creating new methods to automatically organize such resources depending on their provided functionalities. In this paper we will first present a brief overview on the nanomedical discipline and its related technologies. Next we will introduce a method targeted to the automated creation of an index of nanomedical resources. This method is based on an existing approach to automatically build an index of biomedical resources from research papers using text mining techniques. We believe that such an index would be a valuable tool to foster the research on nanomedicine. This is an example of application in the new area of Nanoinformatics
Internacional
No
Nombre congreso
Knowledge-based Intelligent Information and Engineering Systems (KES) 2008
Tipo de participación
960
Lugar del congreso
Zagreb, Croatia
Revisores
No
ISBN o ISSN
978-3-540-85564-4
DOI
Fecha inicio congreso
03/09/2008
Fecha fin congreso
05/09/2008
Desde la página
50
Hasta la página
57
Título de las actas
LNAI 5178. Springer-Verlag Berlin Heidelberg 2008
Esta actividad pertenece a memorias de investigación
Participantes
  • Participante: Vaida Bankauskaite
  • Autor: Victor Manuel Maojo Garcia (UPM)
  • Autor: Diana De la Iglesia Jimenez (UPM)
  • Autor: Guillermo De la Calle Velasco (UPM)
  • Autor: Miguel Garcia Remesal (UPM)
  • Autor: Stefano Chiesa . (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (LIA)
  • Departamento: Inteligencia Artificial
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
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