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 |
---|
Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
|
---|
Format | Text, Article |
---|
Conference | International Society for Disease Surveillance Eighth Annual Conference, Dec 3-4, 2009, Miami, USA |
---|
Subject | text mining; keywords; support vector machine; syndromic surveillance |
---|
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. |
---|
Publication date | 2009-12 |
---|
In | |
---|
Language | English |
---|
Peer reviewed | Yes |
---|
NPARC number | 23002701 |
---|
Export citation | Export as RIS |
---|
Report a correction | Report a correction (opens in a new tab) |
---|
Record identifier | 2d2ae9ce-e404-4964-bc95-0f9393d12079 |
---|
Record created | 2018-01-11 |
---|
Record modified | 2020-04-16 |
---|