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
Ladda ner artikel
Ingår i: Scandinavian Conference on Health Informatics 2012; October 2-3; Linköping; Sverige
Linköping Electronic Conference Proceedings 70:6, s. 35-39
Publicerad: 2012-09-28
ISBN: 978-91-7519-758-6
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
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.
Epidemiological research; population surveillance; algorithms; syndromic surveillance; symptom model; patient clusters; immunological reactions
[1] Bassøe; C-F. A data structure for decision support systems; medical systems and clinical decision making; MEDINFO (2007).
[2] Warrer; P; Hansen; EH; Juhl-Jensen; L; Aagaard; L. Using text-mining techniques in electronic patient records to identify ADRs from medicine use. Br J Clin Pharmacol. (2012);73:674-84.
[3] van den Branden M; Wiratunga N; Burton D; Craw S. Integrating case-based reasoning with an electronic patient record system. Artif Intell Med. (2011);51:117-23.
[4] Bassøe; C-F. Combinatorial Clinical Decision-making; PhD Thesis; University of Bergen; (2007).
[5] Botsis T; Bassøe CF; Hartvigsen G. Sixteen years of ICPC use in Norwegian primary care: looking through the facts. BMC Med Inform Decis Mak (2010);10:11.
[6] Rasmussen J-E; Bassøe C-F. Semantic analysis of medical records. Meth Inform Meth (1993);32:66-72.
[7] Bassøe C-F. Automated diagnoses from clinical narratives: A medical system based on computerized medical records; natural language processing and neural network technology. Neural Networks (1995);8:313-319.
[8] Levenshtein; V.I. Binary codes capable of correcting deletions; insertions; and reversals. Soviet Physics Doklady 10(1966); 707–10.
[9] Cocx; TK.; Kosters; WA. A distance measure for determining similarity between criminal investigations; 6th Industrial Conference on Data Mining (2006).
[10] MacQueen; JB. Some Methods for classification and Analysis of Multivariate Observations. Proceedings of 5th Berkeley Symposium on Mathematical Statistics and Probability. University of California Press (1967); 281– 297.
