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.
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Berka, P., Tomečková, M. (2009). Atherosclerosis Risk Assessment Using Rule-Based Approach. In: Ras, Z.W., Dardzinska, A. (eds) Advances in Data Management. Studies in Computational Intelligence, vol 223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02190-9_16
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DOI: https://doi.org/10.1007/978-3-642-02190-9_16
Publisher Name: Springer, Berlin, Heidelberg
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