| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Submitted on March 16, 2007
Accepted on September 16, 2007
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.
This article has been cited by other articles:
![]() |
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] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH |