Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Using Nanoinformatics Methods for Automatically Identifying Relevant Nanotoxicology Entities from the Literature
Year:2013
Research Areas
  • Information technology and adata processing
Information
Abstract
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.
International
Si
JCR
Si
Title
BIOMED RESEARCH INTERNATIONAL
ISBN
2314-6133
Impact factor JCR
2,88
Impact info
Volume
2013
10.1155/2013/410294
Journal number
2013
From page
0
To page
9
Month
SIN MES
Ranking
0
Participants
  • Autor: Miguel Garcia Remesal (UPM)
  • Autor: David Perez Del Rey (UPM)
  • Autor: Diana De la Iglesia Jimenez (UPM)
  • Autor: Victor Manuel Maojo Garcia (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Informática Biomédica (GIB)
  • Departamento: Inteligencia Artificial
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