Abstract
In this paper we present the results of analysis of the genetic data of children with diabetes mellitus type 1 (DMT1) and their up to now healthy siblings. Base on the data the decision support system has been developed to classify and later on to predict the illness among the children with genetic susceptibility to DMT1. The system can recommend to include a person to pre-diabetes therapy. The data mining and classification algorithms are based on the rough set theory.
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Deja, R. (2009). Applying Rough Set Theory to the System of Type 1 Diabetes Prediction. In: Tkacz, E., Kapczynski, A. (eds) Internet – Technical Development and Applications. Advances in Intelligent and Soft Computing, vol 64. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05019-0_14
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DOI: https://doi.org/10.1007/978-3-642-05019-0_14
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