Negation and uncertainty detection in clinical texts written in Spanish: a deep learning-based approach

Detecting negation and uncertainty is crucial for medical text mining applications; otherwise, extracted information can be incorrectly identified as real or factual events. Although several approaches have been proposed to detect negation and uncertainty in clinical texts, most efforts have focused...

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Detalles Bibliográficos
Autores principales: Solarte Pabón, Oswaldo, Montenegro, Orlando, Torrente, Maria, Rodríguez González, Alejandro, Provencio, Mariano, Menasalvas, Ernestina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2022
Materias:
Data Mining and Machine Learning
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044225/
https://www.ncbi.nlm.nih.gov/pubmed/35494817
http://dx.doi.org/10.7717/peerj-cs.913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9044225/
https://www.ncbi.nlm.nih.gov/pubmed/35494817
http://dx.doi.org/10.7717/peerj-cs.913

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