An empirical evaluation of machine learning techniques for chronic kidney disease prophecy

B Khan, R Naseem, F Muhammad, G Abbas… - IEEE Access, 2020 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) implies that the human kidneys are harmed and unable to
blood filter in the manner which they should. The disease is designated “chronic” in light of …

[PDF][PDF] Chronic kidney disease prediction using machine learning models

S Revathy, B Bharathi, P Jeyanthi… - International Journal of …, 2019 - researchgate.net
The field of biosciences have advanced to a larger extent and have generated large
amounts of information from Electronic Health Records. This have given rise to the acute …

Prediction of chronic kidney disease and its progression by artificial intelligence algorithms

FP Schena, VW Anelli, DI Abbrescia, T Di Noia - Journal of Nephrology, 2022 - Springer
Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …

A deep prediction of chronic kidney disease by employing machine learning method

D Baidya, U Umaima, MN Islam… - … on Trends in …, 2022 - ieeexplore.ieee.org
In recent years, people worldwide have been suffering from various types of kidney diseases
indescribably, among which chronic kidney disease (CKD) has exacerbated the situation …

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 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 …

[HTML][HTML] 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 …

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 …

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 …

[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 …