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

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 ground tr...

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Detalhes bibliográficos
Publicado no:J Biomed Semantics
Main Authors: Arguello-Casteleiro, Mercedes, Stevens, Robert, Des-Diz, Julio, Wroe, Chris, Fernandez-Prieto, Maria Jesus, Maroto, Nava, Maseda-Fernandez, Diego, Demetriou, George, Peters, Simon, Noble, Peter-John M., Jones, Phil H., Dukes-McEwan, Jo, Radford, Alan D., Keane, John, Nenadic, Goran
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2019
Assuntos:
Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6849172/
https://ncbi.nlm.nih.gov/pubmed/31711540
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13326-019-0212-6
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