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Identifying ILI Cases from Chief Complaints: Comparing the Accuracy of Keyword and Support Vector Machine Methods

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]

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Abstract

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.

Item Type:Conference Paper
Additional Information:conversation w/ editor regarding original rejection. Editor says resubmit. On Wed, 21 Jul 2010, norm.vinson@gmail.com wrote: Isn't text mining and machine learning part of AI; isn't AI cog science ? Please explain how machine learning is not part of cognitive science. Yes it is. Please go ahead and re-deposit. Apologies, SH
Keywords:text mining, keywords, support vector machine, syndromic surveillance
Subjects:Computer Science > Artificial Intelligence
Computer Science > Machine Learning
ID Code:6837
Deposited By: Vinson, Norman G.
Deposited On:18 Oct 2010 11:05
Last Modified:11 Mar 2011 08:57

References in Article

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1] Buehler, J.W.; Sonricker, A.; Paladini, M.; Soper, M. & Mostashari, F. Syndromic Surveillance Practice in the United States: Findings from a Survey of State, Territorial, and Selected Local Health Departments. Advances in Disease Surveillance, 2008; 6(3)

[2] Ontario Ministry of Health and Long-Term Care. Guidance for Management of Patients with Influenza-like Illness (ILI) in Ambulatory Settings. Province of Ontario, 2009.

[3] Dara, J.; Dowling, J.N.; Travers, D.; Cooper, G.F.; Chapman, W.W. Chief Complaint Preprocessing Evaluated on Statistical and Non-Statistical Classifiers. Advances in Disease Surveillance 2007; 2:4.

[4] de Bruijn, B.; Cranney, A.; O’Donnell, S.; Martin, J.D.; Forster, A.J. Identifying Wrist Fracture Patients with High Accuracy by Automatic Categorization of X-ray Reports, Journal of the American Medical Informatics Association, 2006, 13(6), 696-698.

[5] Chapman, W.W. & Dowling, J.N. Can Chief Complaints Identify Patients with Febrile Syndromes? Advances in Disease Surveillance, 2007, 3(6)

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