Mar 28, 2012
from 04:00 PM to 05:00 PM
|Where||Health Sciences Library room 328|
|Contact Name||Heather Lewis|
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Drs. Mostafa and Travers will describe approaches to automated syndrome classification using clinical text, as applied to a new system created to classify emergency department (ED) records that meet criteria for acute infectious disease surveillance (aka biosurveillance). The new system was created as part of an NLM-funded project, “Adapting NLP Tools for Biosurveillance.” The system is currently being evaluated for biosurveillance use by public health officials through the North Carolina Disease Event Tracking and Epidemiologic Collection Tool (NC DETECT).