Paper
5 August 2009 Application of Weka environment to determine factors that stand behind non-alcoholic fatty liver disease (NAFLD)
Michal M Plutecki, Aldona Wierzbicka, Piotr Socha, Jan J. Mulawka
Author Affiliations +
Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75022L (2009) https://doi.org/10.1117/12.837690
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland
Abstract
The paper describes an innovative approach to discover new knowledge in non-alcoholic fatty liver disease (NAFLD). In order to determine the factors that may cause the disease a number of classification and attribute selection algorithms have been applied. Only those with the best classification results were chosen. Several interesting facts associated with this unclear disease have been discovered. All data mining computations were made in Weka environment.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michal M Plutecki, Aldona Wierzbicka, Piotr Socha, and Jan J. Mulawka "Application of Weka environment to determine factors that stand behind non-alcoholic fatty liver disease (NAFLD)", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75022L (5 August 2009); https://doi.org/10.1117/12.837690
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KEYWORDS
Feature selection

Data mining

Liver

Data modeling

Knowledge discovery

Data processing

Medicine

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