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Hybrid Regression Models for Predicting Hydration: A Case Study in Pediatric Hemodialysis Cover

Hybrid Regression Models for Predicting Hydration: A Case Study in Pediatric Hemodialysis

Measurement Science Review
Volume 25 (2025): Issue 5 (October 2025)
By: Suzana Djordjevic,  Mirjana Kostic,  Blerina Zanaj,  Danijela Milosevic and  Vladimir Mladenovic  
Open Access
|Sep 2025

Authors

Suzana Djordjevic

suzana.djordjevic@pefja.kg.ac.rs

Faculty of Education, University of Kragujevac, Jagodina, Serbia

Mirjana Kostic

kostic1mirjana@yahoo.com

Department of Nephrology, University Children Hospital, Belgrade, Serbia

Blerina Zanaj

bzanaj@ubt.edu.al

Faculty of Economics and Agribusiness, Agriculture University of Tirana, Tirana, Albania

Danijela Milosevic

danijela.milosevic@ftn.kg.ac.rs

Faculty of Technical Sciences Cacak, University of Kragujevac, Cacak, Serbia

Vladimir Mladenovic

vladimir.mladenovic@ftn.kg.ac.rs

Faculty of Technical Sciences Cacak, University of Kragujevac, Cacak, Serbia
DOI: https://doi.org/10.2478/msr-2025-0025 | Journal eISSN: 1335-8871
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Language: English
Page range: 212 - 222
Submitted on: Jul 21, 2024
|
Accepted on: Jul 14, 2025
|
Published on: Sep 10, 2025
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
hemodialysis,
support vector regression,
elastic net,
gradient boosting regressor,
kidney diseases
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2025 Suzana Djordjevic, Mirjana Kostic, Blerina Zanaj, Danijela Milosevic, Vladimir Mladenovic, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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