Early detection of chronic kidney disease using eurygasters optimization algorithm with ensemble deep learning approach
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Published:2024-08
Issue:
Volume:100
Page:220-231
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ISSN:1110-0168
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Container-title:Alexandria Engineering Journal
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language:en
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Short-container-title:Alexandria Engineering Journal
Author:
Awad Yousif Sulima M.,
Halawani Hanan T.ORCID,
Amoudi GhadaORCID,
Osman Birkea Fathea M.,
Almunajam Arwa M.R.,
Elhag Azhari A.
Reference29 articles.
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3. An effect of machine learning based classification algorithms on chronic kidney disease;Lambert;Int. J. Innov. Technol. Explor. Eng.,2020
4. A. Noor, A. Banerjee, M.F. Ahmad, and M.N. Uddin, An IoT-based mhealth platform for chronic kidney disease patients, in: Proceedings of the 2019 First International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT), 1–6, IEEE, Dhaka, Bangladesh, May 2019.
5. An intelligent IoT with cloud centric medical decision support system for chronic kidney disease prediction;Arulanthu;Int. J. Imaging Syst. Technol.,2020