A controlled trial of automated classification of negation from clinical notes

BACKGROUND: Identification of negation in electronic health records is essential if we are to understand the computable meaning of the records: Our objective is to compare the accuracy of an automated mechanism for assignment of Negation to clinical concepts within a compositional expression with Hu...

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Detalles Bibliográficos
Autores principales: Elkin, Peter L, Brown, Steven H, Bauer, Brent A, Husser, Casey S, Carruth, William, Bergstrom, Larry R, Wahner-Roedler, Dietlind L
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142321/
https://www.ncbi.nlm.nih.gov/pubmed/15876352
http://dx.doi.org/10.1186/1472-6947-5-13

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1142321/
https://www.ncbi.nlm.nih.gov/pubmed/15876352
http://dx.doi.org/10.1186/1472-6947-5-13

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