[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 …

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 deep neural network for early detection and prediction of chronic kidney disease

V Singh, VK Asari, R Rajasekaran - Diagnostics, 2022 - mdpi.com
Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD).
Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers …

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 …

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 …

Comprehensive performance assessment of deep learning models in early prediction and risk identification of chronic kidney disease

S Akter, A Habib, MA Islam, MS Hossen… - IEEE …, 2021 - ieeexplore.ieee.org
The incidence of chronic kidney disease (CKD) is rising rapidly around the globe.
Asymptomatic CKD is common and guideline-directed monitoring to predict CKD by various …

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 …

Chronic kidney disease prediction using machine learning methods

IU Ekanayake, D Herath - 2020 Moratuwa Engineering …, 2020 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) or chronic renal disease has become a major issue with a
steady growth rate. A person can only survive without kidneys for an average time of 18 …

Risk factor prediction of chronic kidney disease based on machine learning algorithms

MA Islam, S Akter, MS Hossen, SA Keya… - 2020 3rd …, 2020 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is an increasing medical issue that declines the productivity
of renal capacities and subsequently damages the kidneys. CKD is very common nowadays; …

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 …