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Atherosclerosis Risk Assessment Using Rule-Based Approach

  • Petr Berka
  • Marie Tomečková
Part of the Studies in Computational Intelligence book series (SCI, volume 223)

Abstract

A number of calculators that compute the risk of atherosclerosis has been developed and made available on the Internet. They all are based on computing weighted sum of risk factors. We propose instead to use more flexible rule-based approach to estimate this risk. The used rules were created using machine learning methods and further refined by domain expert. Using our rule-based expert system NEST, we built a consultation module AtherEx, that helps (via Internet) a non-expert user to evaluate his atherosclerosis risk.

Keywords

Domain Expert Atherosclerosis Risk Atherosclerosis Risk Factor Combination Function Uncertainty Processing 
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 2009

Authors and Affiliations

  • Petr Berka
    • 1
  • Marie Tomečková
    • 2
  1. 1.Dept. of Information and Knowledge EngineeringUniversity of Economics, Prague and Centre of Biomedical Informatics, Institute of Computer Science of the Academy of SciencesPragueCzech Republic
  2. 2.Centre of Biomedical InformaticsInstitute of Computer Science of the Academy of SciencesPragueCzech Republic

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