Open AccessExtracting Rx information from clinical narrative
Author(s) -
James G. Mork,
Olivier Bodenreider,
Dina DemnerFushman,
Rezarta Islamaj,
François-Michel Lang,
Zhiyong Lu,
Aurélie Névéol,
Lee B. Peters,
Sonya E. Shooshan,
Alan R. Aronson
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.2010.003970
Subject(s) - computer science , identification (biology) , retargeting , information retrieval , information extraction , salient , ontology , natural language processing , data extraction , artificial intelligence , data mining , medline , botany , epistemology , political science , law , biology , philosophy
The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of annotated clinical notes, and start developing methods for ontology-based reasoning using structured information generated from the unstructured clinical narrative.
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