Machine learning: paradigms and methods
Machine learning: paradigms and methods
C4.5: programs for machine learning
C4.5: programs for machine learning
Discretization of Continuous Attributes on Decision System in Mitochondrial Encephalomyopathies
RSCTC '98 Proceedings of the First International Conference on Rough Sets and Current Trends in Computing
Data preparation for data mining in medical data sets
Transactions on rough sets VI
Selection of important attributes for medical diagnosis systems
Transactions on rough sets VII
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The work contains an example of applying the rough sets theory to application of support decision making - diagnose Mitochondrial Encephalomyopathies (MEM) in a child. The resulting decision support system in MEM should maximally limiting the indications for invasive diagnostic methods that finally decide about diagnosis. Moreover he has to shorten the time necessary to making diagnosis. System has arisen using induction (machine learning from examples) - one of the methods artificial intelligence.