Comparison of Rules Synthesis Methods Accuracy in the System of Type 1 Diabetes Prediction

  • Rafal Deja
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 118)


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.


Decision Support System Decision Table Rule Induction Minimal Complex Healthy Sibling 
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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© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceAcademy of Business in Dabrowa GorniczaDabrowa GorniczaPoland

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