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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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Bibliografski detalji
Glavni autori: Wilson, Richard A., Chapman, Wendy W., DeFries, Shawn J., Becich, Michael J., Chapman, Brian E.
Format: Artigo
Jezik:Inglês
Izdano: Medknow Publications 2010
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2956176/
https://ncbi.nlm.nih.gov/pubmed/21031012
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4103/2153-3539.71065
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