Applying temporal abstraction and case-based reasoning to predict approaching influenza waves.
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.
Schmidt
Rainer
R
Institut für Medizinische Informatik und Biometrie, Universität Rostock, D-18055 Rostock, Germany.
Gierl
Lothar
L
D005858:Germany / Q000453:epidemiology; D006801:Humans; D015994:Incidence; D007251:Influenza, Human / Q000453:epidemiology*; D008962:Models, Theoretical; D009313:National Health Programs