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| 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 |
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