Abstract
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.
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Paszek, P., Wakulicz–Deja, A. (2007). Applying Rough Set Theory to Medical Diagnosing. In: Kryszkiewicz, M., Peters, J.F., Rybinski, H., Skowron, A. (eds) Rough Sets and Intelligent Systems Paradigms. RSEISP 2007. Lecture Notes in Computer Science(), vol 4585. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73451-2_45
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DOI: https://doi.org/10.1007/978-3-540-73451-2_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73450-5
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