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Automatic lymphoma classification with sentence subgraph mining from pathology reports
OBJECTIVE: Pathology reports are rich in narrative statements that encode a complex web of relations among medical concepts. These relations are routinely used by doctors to reason on diagnoses, but often require hand-crafted rules or supervised learning to extract into prespecified forms for comput...
Tallennettuna:
| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BMJ Publishing Group
2014
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4147603/ https://ncbi.nlm.nih.gov/pubmed/24431333 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-002443 |
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