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Influenza Forecast: Comparison of Case-Based Reasoning and Statistical Methods

  • Tina Waligora
  • Rainer Schmidt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3745)

Abstract

Influenza is the last of the classic plagues of the past, which still has to be brought under control. It causes a lot of costs: prolonged stays in hospitals and especially many days of unfitness for work. Therefore many of the most developed countries have started to create influenza surveillance systems. Mostly statistical methods are applied to predict influenza epidemics. However, the results are rather moderate, because influenza waves occur in irregular cycles. We have developed a method that combines Case-Based Reasoning with temporal abstraction. Here we compare experimental results of our method and statistical methods.

Keywords

Case Base Acute Respiratory Infection Infected People Influenza Outbreak Influenza Epidemic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Tina Waligora
    • 1
  • Rainer Schmidt
    • 1
  1. 1.Institut für Medizinische Informatik und BiometrieUniversität RostockRostockGermany

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