5 August 2009 Data mining approach to the evaluation of diagnostic tests in Wilson disease
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Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75022K (2009) https://doi.org/10.1117/12.837689
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland
Abstract
The purpose of this paper is to figure out a new, better than so-far-known, evaluation method of diagnostic tests in Wilson disease. In order to find the most interesting classification models various data mining techniques were applied to real, suffering from Wilson disease, set of patients. It occurred that a combination of two classification algorithms with its implementations in Weka environment may significantly increase classification ability.
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Michal M Plutecki, Michal M Plutecki, Maciej Dądalski, Maciej Dądalski, Piotr Socha, Piotr Socha, Jan J. Mulawka, Jan J. Mulawka, } "Data mining approach to the evaluation of diagnostic tests in Wilson disease", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75022K (5 August 2009); doi: 10.1117/12.837689; https://doi.org/10.1117/12.837689
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