Data mining approach to the evaluation of diagnostic tests in Wilson disease

Michal M Plutecki; Maciej Dądalski; Piotr Socha; Jan J. Mulawka

doi:10.1117/12.837689

5 August 2009 Data mining approach to the evaluation of diagnostic tests in Wilson disease

Michal M Plutecki, Maciej Dądalski, Piotr Socha, Jan J. Mulawka

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.

Citation Download Citation

Michal M Plutecki, Maciej Dądalski, Piotr Socha, and 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); https://doi.org/10.1117/12.837689

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