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Data Mining Techniques as a Tool in Neurological Disorders Diagnosis Cover

Data Mining Techniques as a Tool in Neurological Disorders Diagnosis

Acta Mechanica et Automatica
Volume 12 (2018): Issue 3 (September 2018)
By: Małgorzata Zdrodowska,  Agnieszka Dardzińska,  Monika Chorąży and  Alina Kułakowska  
Open Access
|Oct 2018

Authors

Małgorzata Zdrodowska

m.zdrodowska@pb.edu.pl

Faculty of Mechanical Engineering, Department of Biocybernetics and Biomedical Engineering, Bialystok University of Technology, Bialystok, Poland

Agnieszka Dardzińska

a.dardzinska@pb.edu.pl

Faculty of Mechanical Engineering, Department of Biocybernetics and Biomedical Engineering, Bialystok University of Technology, Bialystok, Poland

Monika Chorąży

chorazym@op.pl

Faculty of Medicine, Department of Neurology, Medical University of Bialystok, Białystok, Poland

Alina Kułakowska

alakul@umb.edu.pl

Faculty of Medicine, Department of Neurology, Medical University of Bialystok, Białystok, Poland
DOI: https://doi.org/10.2478/ama-2018-0033 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 217 - 220
Submitted on: Jan 25, 2018
Accepted on: Sep 19, 2018
Published on: Oct 16, 2018
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Data Mining,
Classification Rules,
Decision Tree,
Action Rules,
Neurological Disorders,
Stroke,
Multiple Sclerosis
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2018 Małgorzata Zdrodowska, Agnieszka Dardzińska, Monika Chorąży, Alina Kułakowska, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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