A New Version of Rough Set Exploration System
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Learning rough set classifiers from gene expressions and clinical data
Fundamenta Informaticae
Applying rough set theory to multi stage medical diagnosing
Fundamenta Informaticae
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Based on genetic data we created the decision support system to classify and later on to predict the illness among the children with genetic susceptibility to DMT1. The system can recommend including a person to pre-diabetes therapy. While creating the system the classification problems appeared. Some of the algorithms based on the rough set theory have been applied to improve the classification accuracy.