Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets

OBJECTIVES: Biomedical natural language processing tools are increasingly being applied for broad-coverage information extraction—extracting medical information of all types in a scientific document or a clinical note. In such broad-coverage settings, linking mentions of medical concepts to standard...

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Detalles Bibliográficos
Autores principales: Vashishth, Shikhar, Newman-Griffis, Denis, Joshi, Rishabh, Dutt, Ritam, Rosé, Carolyn P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952339/
https://www.ncbi.nlm.nih.gov/pubmed/34390853
http://dx.doi.org/10.1016/j.jbi.2021.103880

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952339/
https://www.ncbi.nlm.nih.gov/pubmed/34390853
http://dx.doi.org/10.1016/j.jbi.2021.103880

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