Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature
Año:2013
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Nanoinformatics is an emerging research field that uses informatics techniques to collect, process, store, and retrieve data, information, and knowledge on nanoparticles, nanomaterials, and nanodevices and their potential applications in health care. In this paper, we have focused on the solutions that nanoinformatics can provide to facilitate nanotoxicology research. For this, we have taken a computational approach to automatically recognize and extract nanotoxicology-related entities from the scientific literature. The desired entities belong to four different categories: nanoparticles, routes of exposure, toxic effects, and targets. The entity recognizer was trained using a corpus that we specifically created for this purpose and was validated by two nanomedicine/nanotoxicology experts. We evaluated the performance of our entity recognizer using 10-fold cross-validation. The precisions range from 87.6% (targets) to 93.0% (routes of exposure), while recall values range from 82.6% (routes of exposure) to 87.4% (toxic effects). These results prove the feasibility of using computational approaches to reliably perform different named entity recognition (NER)-dependent tasks, such as for instance augmented reading or semantic searches. This research is a "proof of concept" that can be expanded to stimulate further developments that could assist researchers in managing data, information, and knowledge at the nanolevel, thus accelerating research in nanomedicine.
Internacional
Si
JCR del ISI
Si
Título de la revista
BIOMED RESEARCH INTERNATIONAL
ISSN
2314-6133
Factor de impacto JCR
2,88
Información de impacto
Volumen
2013
DOI
10.1155/2013/410294
Número de revista
2013
Desde la página
0
Hasta la página
9
Mes
SIN MES
Ranking
0
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Garcia Remesal (UPM)
  • Autor: David Perez Del Rey (UPM)
  • Autor: Diana De la Iglesia Jimenez (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
S2i 2021 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)