| Author | Search for: Ferguson, Darrell1; Search for: Vinson, Norman G.1; Search for: Morin, Jason1; Search for: Martin, Joel1; Search for: McClinton, Susan; Search for: Davies, Richard |
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| Affiliation | - National Research Council Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | International Society for Disease Surveillance Eighth Annual Conference, Dec 3-4, 2009, Miami, USA |
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| Subject | text mining; keywords; support vector machine; syndromic surveillance |
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| Abstract | We compared the accuracy of two methods of identifying ILI cases from chief complaints: a method based on keywords and one based on support vector machine learning. |
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| Publication date | 2009-12 |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| NPARC number | 23002701 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 2d2ae9ce-e404-4964-bc95-0f9393d12079 |
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| Record created | 2018-01-11 |
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| Record modified | 2020-04-16 |
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