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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849172/
https://www.ncbi.nlm.nih.gov/pubmed/31711540
http://dx.doi.org/10.1186/s13326-019-0212-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849172/
https://www.ncbi.nlm.nih.gov/pubmed/31711540
http://dx.doi.org/10.1186/s13326-019-0212-6

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