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First published October 18, 2007 as JAMIA PrePrint; doi:10.1197/jamia.M2438
Journal of the American Medical Informatics Association 2008;15(1):40-43
© 2008 American Medical Informatics Association

A more recent version of this article appeared on January 1, 2008
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Submitted on March 16, 2007
Accepted on September 16, 2007

A-Life Medical I2B2 NLP Smoking Challenge System Architecture and Methodology

Daniel T. Heinze PhD1, Mark L. Morsch1, Brian C. Potter PhD1*, and Ronald E. Sheffer Jr.1

Affiliation of the authors: 1 A-Life Medical, Inc., San Diego, CA

* To whom correspondence should be addressed.

We describe the architecture of LifeCode® (A-Life Medical, Inc.), a natural language processing system for free-text clinical information extraction, our methodology in applying LifeCode® to the I2B2 smoking challenge, and statistical measures for performance evaluation. Due to the limited test size and the coefficient of variation in the test standard, it is difficult to draw conclusions regarding the relative efficacy of approaches that were applied to this challenge.




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