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 …

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 …

[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 …

Detection of chronic kidney disease using machine learning algorithms with least number of predictors

M Almasoud, TE Ward - International Journal of Soft Computing and Its …, 2019 - doras.dcu.ie
Chronic kidney disease (CKD) is one of the most critical health problems due to its
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …

A novel approach to predict chronic kidney disease using machine learning algorithms

B Gudeti, S Mishra, S Malik… - 2020 4th …, 2020 - ieeexplore.ieee.org
A staggering 63,538 cases have been registered according to India's health statistics on
Chronic Kidney Disease (CKD). The average age of nephropathy for humans lies between …

Intelligent diagnostic prediction and classification models for detection of kidney disease

RC Poonia, MK Gupta, I Abunadi, AA Albraikan… - Healthcare, 2022 - mdpi.com
Kidney disease is a major public health concern that has only recently emerged. Toxins are
removed from the body by the kidneys through urine. In the early stages of the condition, the …

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 …

Clinically applicable machine learning approaches to identify attributes of chronic kidney disease (CKD) for use in low-cost diagnostic screening

M Rashed-Al-Mahfuz, A Haque, A Azad… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Objective: Chronic kidney disease (CKD) is a major public health concern worldwide. High
costs of late-stage diagnosis and insufficient testing facilities can contribute to high morbidity …

Performance based evaluation of various machine learning classification techniques for chronic kidney disease diagnosis

S Sharma, V Sharma, A Sharma - arXiv preprint arXiv:1606.09581, 2016 - arxiv.org
Areas where Artificial Intelligence (AI) & related fields are finding their applications are
increasing day by day, moving from core areas of computer science they are finding their …

Machine learning hybrid model for the prediction of chronic kidney disease

H Khalid, A Khan, M Zahid Khan… - Computational …, 2023 - Wiley Online Library
To diagnose an illness in healthcare, doctors typically conduct physical exams and review
the patient's medical history, followed by diagnostic tests and procedures to determine the …