Lightweight predicate extraction for patient-level cancer information and ontology development

BACKGROUND: Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the development process of ontologies. We focus towards the development of ontologies for...

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Detalles Bibliográficos
Autores principales: Amith, Muhammad, Song, Hsing-Yi, Zhang, Yaoyun, Xu, Hua, Tao, Cui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506564/
https://www.ncbi.nlm.nih.gov/pubmed/28699547
http://dx.doi.org/10.1186/s12911-017-0465-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506564/
https://www.ncbi.nlm.nih.gov/pubmed/28699547
http://dx.doi.org/10.1186/s12911-017-0465-x

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