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Symbolic rule-based classification of lung cancer stages from free-text pathology reports
Author(s) -
Anthony Nguyen,
Michael Lawley,
David Hansen,
Rayleen Bowman,
Belinda E. Clarke,
Edwina Duhig,
Shoni Colquist
Publication year - 2010
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1136/jamia.2010.003707
Subject(s) - snomed ct , computer science , lung cancer staging , systematized nomenclature of medicine , artificial intelligence , support vector machine , natural language processing , stage (stratigraphy) , lung cancer , terminology , information retrieval , medicine , pathology , paleontology , philosophy , linguistics , mediastinoscopy , biology
To classify automatically lung tumor-node-metastases (TNM) cancer stages from free-text pathology reports using symbolic rule-based classification.

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