Abstract
In this work we propose the use of a similarity-based fuzzy CBR approach to classify the prevalence of Schistosomiasis in the state of Minas Gerais in Brazil.
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Martins-Bedé, F.T. et al. (2009). Classification of Schistosomiasis Prevalence Using Fuzzy Case-Based Reasoning. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds) Bio-Inspired Systems: Computational and Ambient Intelligence. IWANN 2009. Lecture Notes in Computer Science, vol 5517. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02478-8_132
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DOI: https://doi.org/10.1007/978-3-642-02478-8_132
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