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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Bibliografiske detaljer
Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: BioMed Central 2019
Fag:
Research
Online adgang: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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