SemClinBr - a multi-institutional and multi-specialty semantically annotated corpus for Portuguese clinical NLP tasks

BACKGROUND: The high volume of research focusing on extracting patient information from electronic health records (EHRs) has led to an increase in the demand for annotated corpora, which are a precious resource for both the development and evaluation of natural language processing (NLP) algorithms....

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Detalles Bibliográficos
Autores principales: Oliveira, Lucas Emanuel Silva e, Peters, Ana Carolina, da Silva, Adalniza Moura Pucca, Gebeluca, Caroline Pilatti, Gumiel, Yohan Bonescki, Cintho, Lilian Mie Mukai, Carvalho, Deborah Ribeiro, Al Hasan, Sadid, Moro, Claudia Maria Cabral
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080187/
https://www.ncbi.nlm.nih.gov/pubmed/35527259
http://dx.doi.org/10.1186/s13326-022-00269-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9080187/
https://www.ncbi.nlm.nih.gov/pubmed/35527259
http://dx.doi.org/10.1186/s13326-022-00269-1

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