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First published October 18, 2007 as JAMIA PrePrint; doi:10.1197/jamia.M2438
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J Am Med Inform Assoc. 2008;15:40-43. DOI 10.1197/jamia.M2438.
© 2008 American Medical Informatics Association


Implementation Brief

Medical i2b2 NLP Smoking Challenge: The A-Life System Architecture and Methodology

Daniel T. Heinze, PhD, Mark L. Morsch, Brian C. Potter, PhD* and Ronald E. Sheffer, Jr.

A-Life Medical, Inc., San Diego, CA.

* Correspondence: Brian Potter, 6195 Lusk Boulevard, Suite 120, San Diego, CA 92121 (Email: bpotter{at}alifemedical.com).

Received for publication: 03/16/07; accepted for publication: 09/16/07.

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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O. Uzuner, I. Goldstein, Y. Luo, and I. Kohane
Identifying Patient Smoking Status from Medical Discharge Records
J. Am. Med. Inform. Assoc., January 1, 2008; 15(1): 14 - 24.
[Abstract] [Full Text] [PDF]




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