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Data Mining Approach in Diagnosis and Treatment of Chronic Kidney Disease Cover

Data Mining Approach in Diagnosis and Treatment of Chronic Kidney Disease

Acta Mechanica et Automatica
Volume 16 (2022): Issue 3 (September 2022)
By: Andreea S. Turiac and  Małgorzata Zdrodowska  
Open Access
|May 2022
Authors

Authors

Andreea S. Turiac

andreea.s.turiac@gmail.com

Faculty of Medical Engineering, University Politehnica of Bucharest, Bucharest, Romania

Małgorzata Zdrodowska

m.zdrodowska@pb.edu.pl

Faculty of Mechanical Engineering, Institute of Biomedical Engineering, Bialystok Technical University, Bialystok, Poland
DOI: https://doi.org/10.2478/ama-2022-0022 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
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Language: English
Page range: 180 - 188
Submitted on: Nov 2, 2021
Accepted on: Mar 15, 2022
Published on: May 16, 2022
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
feature selection,
classification,
classification rules,
action rules,
data mining,
chronic kidney disease
Related subjects:
Engineering,
Electrical engineering,
Electronics,
Mechanical engineering,
Mechanics,
Bioengineering and biomedical engineering,
Biomechanics,
Civil engineering,
Environmental engineering

© 2022 Andreea S. Turiac, Małgorzata Zdrodowska, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 16 (2022): Issue 3 (September 2022)
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