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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...
Tallennettuna:
| Päätekijät: | , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Medknow Publications
2010
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| Aiheet: | |
| Linkit: | 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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