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ORCID: https://orcid.org/0000-0002-5948-8691, Calle Velasco, Guillermo de la
ORCID: https://orcid.org/0000-0002-8147-3576, Iglesia Jiménez, Diana de la, Bankauskaite, Vaida and Maojo García, Víctor Manuel
ORCID: https://orcid.org/0000-0001-5103-4292
(2008).
Building an Index of Nanomedical Resources: An Automatic Approach based on Text Mining.
En: "12th international conference, KES 2008 Knowledge-based Intelligent Information and Engineering Systems", 03/09/2008-05/09/2008, Zagreb, Croatia.
| Título: | Building an Index of Nanomedical Resources: An Automatic Approach based on Text Mining |
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| Autor/es: |
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| Tipo de Documento: | Ponencia en Congreso o Jornada (Artículo) |
| Título del Evento: | 12th international conference, KES 2008 Knowledge-based Intelligent Information and Engineering Systems |
| Fechas del Evento: | 03/09/2008-05/09/2008 |
| Lugar del Evento: | Zagreb, Croatia |
| Título del Libro: | Proceedings of 12th international conference, KES 2008 Knowledge-based Intelligent Information and Engineering Systems |
| Fecha: | 2008 |
| Materias: | |
| ODS: | |
| Palabras Clave Informales: | nanomedicine, text mining, biomedicine, nanoinformatics. |
| Escuela: | Facultad de Informática (UPM) [antigua denominación] |
| Departamento: | Inteligencia Artificial |
| Licencias Creative Commons: | Reconocimiento - Sin obra derivada - No comercial |
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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.
| ID de Registro: | 4275 |
|---|---|
| Identificador DC: | https://oa.upm.es/4275/ |
| Identificador OAI: | oai:oa.upm.es:4275 |
| URL Oficial: | http://kes2008.kesinternational.org/ |
| Depositado por: | Memoria Investigacion |
| Depositado el: | 24 Sep 2010 10:17 |
| Ultima Modificación: | 02 Jul 2025 07:23 |
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