Symbolic rule-based classification of lung cancer stages from free-text pathology reports

OBJECTIVE: To classify automatically lung tumor–node–metastases (TNM) cancer stages from free-text pathology reports using symbolic rule-based classification. DESIGN: By exploiting report substructure and the symbolic manipulation of systematized nomenclature of medicine–clinical terms (SNOMED CT) c...

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Detalhes bibliográficos
Main Authors: Nguyen, Anthony N, Lawley, Michael J, Hansen, David P, Bowman, Rayleen V, Clarke, Belinda E, Duhig, Edwina E, Colquist, Shoni
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Group 2010
Assuntos:
Research Paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2995652/
https://ncbi.nlm.nih.gov/pubmed/20595312
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/jamia.2010.003707
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