Automated ancillary cancer history classification for mesothelioma patients from free-text clinical reports

BACKGROUND: Clinical records are often unstructured, free-text documents that create information extraction challenges and costs. Healthcare delivery and research organizations, such as the National Mesothelioma Virtual Bank, require the aggregation of both structured and unstructured data types. Na...

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Detalles Bibliográficos
Autores principales: Wilson, Richard A., Chapman, Wendy W., DeFries, Shawn J., Becich, Michael J., Chapman, Brian E.
Formato: Texto
Lenguaje:English
Publicado: Medknow Publications 2010
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956176/
https://www.ncbi.nlm.nih.gov/pubmed/21031012
http://dx.doi.org/10.4103/2153-3539.71065

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2956176/
https://www.ncbi.nlm.nih.gov/pubmed/21031012
http://dx.doi.org/10.4103/2153-3539.71065

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