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Proceedings Paper

Data mining approach to the evaluation of diagnostic tests in Wilson disease
Author(s): Michal M Plutecki; Maciej Dądalski; Piotr Socha; Jan J. Mulawka
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Paper 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.

Paper Details

Date Published: 5 August 2009
PDF: 8 pages
Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75022K (5 August 2009); doi: 10.1117/12.837689
Show Author Affiliations
Michal M Plutecki, Warsaw University of Technology (Poland)
Maciej Dądalski, The Children Memorial Health Institute (Poland)
Piotr Socha, The Children Memorial Health Institute (Poland)
Jan J. Mulawka, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 7502:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009
Ryszard S. Romaniuk; Krzysztof S. Kulpa, Editor(s)

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