Open AccessPneumonia identification using statistical feature selection
Author(s) -
Adrian Bejan,
Fei Xia,
Lucy Vanderwende,
Mark M. Wurfel,
Meliha Yetisgen-Yildiz
Publication year - 2012
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/amiajnl-2011-000752
Subject(s) - pneumonia , identification (biology) , task (project management) , computer science , feature selection , artificial intelligence , feature (linguistics) , selection (genetic algorithm) , natural language processing , medicine , linguistics , engineering , biology , systems engineering , botany , philosophy
This paper describes a natural language processing system for the task of pneumonia identification. Based on the information extracted from the narrative reports associated with a patient, the task is to identify whether or not the patient is positive for pneumonia.
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