Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

Exploring semantic deep learning for building reliable and reusable one health knowledge from PubMed systematic reviews and veterinary clinical notes

Abstract Background Deep Learning opens up opportunities for routinely scanning large bodies of biomedical literature and clinical narratives to represent the meaning of biomedical and clinical terms. However, the validation and integration of this knowledge on a scale requires cross checking with g...

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Bibliographic Details
Main Authors: Mercedes Arguello-Casteleiro, Robert Stevens, Julio Des-Diz, Chris Wroe, Maria Jesus Fernandez-Prieto, Nava Maroto, Diego Maseda-Fernandez, George Demetriou, Simon Peters, Peter-John M. Noble, Phil H. Jones, Jo Dukes-McEwan, Alan D. Radford, John Keane, Goran Nenadic
Format: Article
Language:English
Published: BMC 2019-11-01
Series:Journal of Biomedical Semantics
Subjects:
Semantic deep learning
Ontology
Deep learning
CBOW
Skip-gram
One health
Online Access:http://link.springer.com/article/10.1186/s13326-019-0212-6

Internet

http://link.springer.com/article/10.1186/s13326-019-0212-6

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