Files:DescriptionFile size FormatBrowse
Fulltext0.65 MBPDF (requires Acrobat Reader)Previous | Next
  
Authors:Klaske van Vuurden: Department of Computer Science, University of Tromsø, Tromsø, Norway
Carl-Fredrik Bassøe: Røde Kors Sykehjem, Bergen, Norway
Gunnar Hartvigsen: Department of Computer Science, University of Tromsø, Tromsø, Norway
Publication title:Outbreak detection based on a tree-structured anatomic model for infection
Conference:Scandinavian Conference on Health Informatics 2012; October 2–3; Linköping; Sverige
Publication type: Abstract and Fulltext
Issue:070
Article No.:006
Abstract:When designing an outbreak detection system; it may be preferable to use existing medical data as input instead of requesting additional date from medical professionals. In this paper we propose using existing symptom data and reported immunological reactions in EPRs in combination with a model based on the anatomy of disease. We argue that these data for all patients in a geographical area are sufficient to indicate the increase in incidence of infectious diseases. We transform lexical patient data in a seven-step algorithm to a twodimensional space representing the medical anomalies in a geographical area.
Language:English
Keywords:Epidemiological research; population surveillance; algorithms; syndromic surveillance; symptom model; patient clusters; immunological reactions
Year:2012
No. of pages:5
Pages:35-39
ISBN:978-91-7519-758-6
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/070/006/ecp1270006.pdf
Available:2012-09-28
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Klaske van Vuurden, Carl-Fredrik Bassøe, Gunnar Hartvigsen (2012). Outbreak detection based on a tree-structured anatomic model for infection, Scandinavian Conference on Health Informatics 2012; October 2–3; Linköping; Sverige http://www.ep.liu.se/ecp_article/index.en.aspx?issue=070;article=006 (accessed 10/1/2014)