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dc.contributor.authorSchmidt, Rainer
dc.contributor.authorGierl, Lothar
dc.contributor.editorMinor, Mirjam
dc.contributor.editorStaab, Steffen
dc.date.accessioned2020-01-07T12:53:46Z
dc.date.available2020-01-07T12:53:46Z
dc.date.issued2002
dc.identifier.isbn3-88579-340-7
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/30906
dc.description.abstractThe goal of the TeCoMed project is to send early warnings against forthcoming waves or even epidemics of infectious diseases, especially of influenza to interested practitioners, pharmacists etc. in the German federal state of Mecklenburg-Western Pomerania. The forecast of these waves is based on written confirmations of unfitness for work of the main German health insurance company. Since influenza waves are difficult to predict because of their cyclic but no regular behaviour, statistical methods based on the computation of mean values are not helpful. Instead, we have developed a prognostic model that makes use of similar former courses. Our method combines Case-based Reasoning with Temporal Abstraction to decide wether early warning is appropriate. In this paper, we present this method.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof1st German workshop on experience management: sharing experiences about the sharing of experience
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-10
dc.titlePrognostic model for early warning of threatening influenza wavesen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages39-46
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationBerlin
mci.conference.dateMarch 7-8, 2002


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