Applying temporal abstraction and case-based reasoning to predict approaching influenza waves.
Identifieur interne : 000542 ( Main/Exploration ); précédent : 000541; suivant : 000543Applying temporal abstraction and case-based reasoning to predict approaching influenza waves.
Auteurs : Rainer Schmidt [Allemagne] ; Lothar GierlSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2002.
Descripteurs français
- KwdFr :
- MESH :
- épidémiologie : Allemagne, Grippe humaine.
- Humains, Incidence, Modèles théoriques, Programmes nationaux de santé.
- Wicri :
- geographic : Allemagne.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Germany.
- epidemiology : Influenza, Human.
- Humans, Incidence, Models, Theoretical, National Health Programs.
Abstract
The 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 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 not 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 whether early warning is appropriate.
PubMed: 15460729
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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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 not 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. 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