[HTML][HTML] 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 …

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 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 …

[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 …

Diagnosis of chronic kidney disease using effective classification algorithms and recursive feature elimination techniques

EM Senan, MH Al-Adhaileh, FW Alsaade… - Journal of healthcare …, 2021 - Wiley Online Library
Chronic kidney disease (CKD) is among the top 20 causes of death worldwide and affects
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …

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 …

[HTML][HTML] Chi2-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease

SK Dey, KMM Uddin, HMH Babu, MM Rahman… - Intelligent Systems with …, 2022 - Elsevier
Early detection and characterization are considered crucial in treating and controlling the
chronic renal disease. Because of the rising number of patients, the high risk of progression …

Predicting chronic kidney disease using hybrid machine learning based on apache spark

MA Abdel-Fattah, NA Othman… - Computational …, 2022 - Wiley Online Library
Chronic kidney disease (CKD) has become a widespread disease among people. It is
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …

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 …