title: Identifying ILI Cases from Chief Complaints: Comparing the Accuracy of Keyword and Support Vector Machine Methods
creator: Ferguson, Darrell
creator: Vinson, Norman G.
creator: Morin, Jason
creator: Martin, Joel
creator: McClinton, Susan
creator: Davies, Richard
subject: Artificial Intelligence
subject: Machine Learning
description: We compared the accuracy of two methods of identifying ILI cases from chief complaints. We found that a support vector machine method was more accurate than a keyword method.
date: 2009-12
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/6837/1/ferguson_et_al__2009_isds.pdf
identifier:   Ferguson, Darrell and Vinson, Norman G. and Morin, Jason and Martin, Joel and McClinton, Susan and Davies, Richard  (2009) Identifying ILI Cases from Chief Complaints: Comparing the Accuracy of Keyword and Support Vector Machine Methods.  [Conference Paper]     
relation: http://cogprints.org/6837/