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

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

Abstract 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) algo...

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Bibliographic Details
Main Authors: Lucas Emanuel Silva e Oliveira, Ana Carolina Peters, Adalniza Moura Pucca da Silva, Caroline Pilatti Gebeluca, Yohan Bonescki Gumiel, Lilian Mie Mukai Cintho, Deborah Ribeiro Carvalho, Sadid Al Hasan, Claudia Maria Cabral Moro
Format: Article
Language:English
Published: BMC 2022-05-01
Series:Journal of Biomedical Semantics
Subjects:
Natural language processing
Semantic annotation
Clinical narratives
Corpora
Gold standard
Online Access:https://doi.org/10.1186/s13326-022-00269-1

Internet

https://doi.org/10.1186/s13326-022-00269-1

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