Machine learning: paradigms and methods
Machine learning: paradigms and methods
A new version of the rule induction system LERS
Fundamenta Informaticae
Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
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
Applying Rough Set Theory to Multi Stage Medical Diagnosing
Fundamenta Informaticae
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The work contains an example of applying the rough set theory to application of support decision making - diagnose Mitochondrial Encephalomyopathies (MEM) in a child. The resulting decision support system maximally limits the indications for invasive diagnostic methods that finally decide about diagnosis. Moreover, it shortens the time necessary for making diagnosis. System has arisen using induction (machine learning from examples) --- one of the methods artificial intelligence.