Cargando…
Synthetic data for annotation and extraction of family history information from clinical text
BACKGROUND: The limited availability of clinical texts for Natural Language Processing purposes is hindering the progress of the field. This article investigates the use of synthetic data for the annotation and automated extraction of family history information from Norwegian clinical text. We make...
Autores principales: | Brekke, Pål H., Rama, Taraka, Pilán, Ildikó, Nytrø, Øystein, Øvrelid, Lilja |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8278746/ https://www.ncbi.nlm.nih.gov/pubmed/34261535 http://dx.doi.org/10.1186/s13326-021-00244-2 |
Ejemplares similares
-
Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children
por: Dahl, Fredrik A., et al.
Publicado: (2021) -
Sepsis prediction, early detection, and identification using clinical text for machine learning: a systematic review
por: Yan, Melissa Y, et al.
Publicado: (2021) -
Labeling Emotions in Suicide Notes: Cost-Sensitive Learning with Heterogeneous Features
por: Read, Jonathon, et al.
Publicado: (2012) -
Phonotactic Diversity Predicts the Time Depth of the World’s Language Families
por: Rama, Taraka
Publicado: (2013) -
CustFRE: An annotated dataset for extraction of family relations from English text
por: Mumtaz, Raabia, et al.
Publicado: (2022)