---
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.
altloc: []
chapter: ~
commentary: ~
commref: ~
confdates: 'Dec 3&4, 2009'
conference: 2009 International Society for Disease Surveillance Eighth Annual Conference
confloc: 'Miami Beach, USA'
contact_email: ~
creators_id:
  - darrell.ferguson@nrc-cnrc.gc.ca
  - norm.vinson@acm.org
  - jasonmorin@jasonmorin.com
  - joel.martin@nrc-cnrc.gc.ca
  - smcclinton@ottawaheart.ca
  - rfdavies@ottawaheart.ca
creators_name:
  - family: Ferguson
    given: Darrell
    honourific: ''
    lineage: ''
  - family: Vinson
    given: Norman G.
    honourific: ''
    lineage: ''
  - family: Morin
    given: Jason
    honourific: ''
    lineage: ''
  - family: Martin
    given: Joel
    honourific: ''
    lineage: ''
  - family: McClinton
    given: Susan
    honourific: ''
    lineage: ''
  - family: Davies
    given: Richard
    honourific: ''
    lineage: ''
date: 2009-12
date_type: published
datestamp: 2010-10-18 11:05:41
department: ~
dir: disk0/00/00/68/37
edit_lock_since: ~
edit_lock_until: 0
edit_lock_user: ~
editors_id: []
editors_name: []
eprint_status: archive
eprintid: 6837
fileinfo: /style/images/fileicons/application_pdf.png;/6837/1/ferguson_et_al__2009_isds.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'text mining, keywords, support vector machine, syndromic surveillance'
lastmod: 2011-03-11 08:57:36
latitude: ~
longitude: ~
metadata_visibility: show
note: "conversation w/ editor regarding original rejection. Editor says resubmit.\r\n\r\nOn Wed, 21 Jul 2010, norm.vinson@gmail.com wrote:\r\n\r\n    Isn't text mining and machine learning part of AI; isn't AI cog science ?\r\n    Please explain how machine learning is not part of cognitive science.\r\n\r\n\r\nYes it is. Please go ahead and re-deposit.\r\n\r\nApologies,\r\n\r\nSH"
number: ~
pagerange: ~
pubdom: FALSE
publication: ~
publisher: ~
refereed: TRUE
referencetext: "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)\r\n[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. \r\n[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.\r\n[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.\r\n [5] Chapman, W.W. & Dowling, J.N. Can Chief Complaints Identify Patients with Febrile Syndromes? Advances in Disease Surveillance, 2007, 3(6)\r\n"
relation_type: []
relation_uri: []
reportno: ~
rev_number: 34
series: ~
source: ~
status_changed: 2010-10-18 11:05:41
subjects:
  - comp-sci-art-intel
  - comp-sci-mach-learn
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: 'Identifying ILI Cases from Chief Complaints: Comparing the Accuracy of Keyword and Support Vector Machine Methods'
type: confpaper
userid: 3938
volume: ~
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