Title: Prediction and detection of kidney diseases using ensemble classification

Authors: Suresh Babu Satukumati; M. Nirupama Bhat

Addresses: Department of Information Technology, Vignan's Foundation for Science, Technology and Research, Vadlamudi, 522213, Guntur, India ' Department of Computer Science Engineering, Vignan's Foundation for Science, Technology and Research, Vadlamudi, 522213, Guntur, India

Abstract: Chronic kidney disease (CKD) is the most dangerous disease that occurs in many people these days. An ongoing research is about the exact reason for kidney damage. Some research says that this may be due to the lack of drinking water, high blood pressure, and diabetes, and some of the diseases, such as severe dehydration, can lead to kidney trauma. After all the research done in this paper, the new prediction and detection of chronic kidney disease using ensemble data mining classification is described for the better results.

Keywords: chronic kidney disease; CKD; diabetes; ensemble.

DOI: 10.1504/IJAIP.2024.143813

International Journal of Advanced Intelligence Paradigms, 2024 Vol.29 No.4, pp.290 - 294

Received: 04 Sep 2018
Accepted: 04 Dec 2018
Published online: 08 Jan 2025 *

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