Abstract
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.
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© 2002 Springer-Verlag Berlin Heidelberg
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Paszek, P., Wakulicz-Deja, A. (2002). The Application of Support Diagnose in Mitochondrial Encephalomyopathies. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_78
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DOI: https://doi.org/10.1007/3-540-45813-1_78
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