Abstract
While creating the decision support system we encounter the classification accuracy problem. In the paper author compares the accuracy of two rules synthesis algorithms based on the rough set theory. This comparison is based on the medical support system that goal is to predict the illness among the children with genetic susceptibility to DMT1. The system can help to recommend including a person to pre-diabetes therapy.
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Deja, R. (2012). Comparison of Rules Synthesis Methods Accuracy in the System of Type 1 Diabetes Prediction. In: Kapczyński, A., Tkacz, E., Rostanski, M. (eds) Internet - Technical Developments and Applications 2. Advances in Intelligent and Soft Computing, vol 118. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25355-3_2
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DOI: https://doi.org/10.1007/978-3-642-25355-3_2
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