A comprehensive unsupervised framework for chronic kidney disease prediction

L Antony, S Azam, E Ignatious, R Quadir… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence, prevalence, and progression of chronic kidney disease (CKD) conditions
have evolved over time, especially in countries that have varied social determinants of …

A comprehensive analysis on detecting chronic kidney disease by employing machine learning algorithms

MM Nishat, F Faisal, RR Dip… - … on Pervasive Health …, 2021 - publications.eai.eu
Abstract INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive
deterioration of kidney functions. However, the impairment is irreversible and imperceptible …

Kidney disease prediction using a machine learning approach: A comparative and comprehensive analysis

SK Arjaria, AS Rathore, JS Cherian - … big data, machine learning, and deep …, 2021 - Elsevier
In our competitive world, the lifestyles of human beings are very irregular. Irregularities in
eating habits, daily routines, and workloads create a lot of tension that in turn leads to many …

A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records

MM Hassan, MM Hassan, S Mollick, MAR Khan… - Human-Centric …, 2023 - Springer
Abstract Chronic Kidney Disease (CKD) has become a major problem in modern times, and
it is dubbed the silent assassin due to its delayed signs. To overcome these critical issues …

A Comparative Analysis of Machine Learning Approaches for Chronic Kidney Disease Detection

RH Khan, J Miah, MAR Rahat… - 2023 8th …, 2023 - ieeexplore.ieee.org
In performing tests and diagnosing illness in healthcare, symptom experiment processes are
used to detect the fundamental cause of syndromes. In this research, we employed a …

A machine learning method with filter-based feature selection for improved prediction of chronic kidney disease

SA Ebiaredoh-Mienye, TG Swart, E Esenogho… - Bioengineering, 2022 - mdpi.com
The high prevalence of chronic kidney disease (CKD) is a significant public health concern
globally. The condition has a high mortality rate, especially in developing countries. CKD …

[HTML][HTML] A comparative assessment of artificial intelligence models used for early prediction and evaluation of chronic kidney disease

R Sawhney, A Malik, S Sharma, V Narayan - Decision Analytics Journal, 2023 - Elsevier
Abstract Chronic Kidney Disease (CKD) is one of the most prevalent and fatal diseases
influencing people on a larger that remains dormant until irreversible damage has been …

[Retracted] Early Detection and Diagnosis of Chronic Kidney Disease Based on Selected Predominant Features

Z Ullah, M Jamjoom - Journal of healthcare engineering, 2023 - Wiley Online Library
In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …

Prediction of chronic kidney disease-a machine learning perspective

P Chittora, S Chaurasia, P Chakrabarti… - IEEE …, 2021 - ieeexplore.ieee.org
Chronic Kidney Disease is one of the most critical illness nowadays and proper diagnosis is
required as soon as possible. Machine learning technique has become reliable for medical …

Early prediction of chronic kidney disease using deep belief network

SMM Elkholy, A Rezk, AAEF Saleh - IEEE Access, 2021 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is still a health concern despite advances in surgical care
and treatment. CKD's growth in recent years has gained much interest from researchers …