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 …

Early prediction of chronic kidney disease: A comprehensive performance analysis of deep learning models

C Mondol, FMJM Shamrat, MR Hasan, S Alam… - Algorithms, 2022 - mdpi.com
Chronic kidney disease (CKD) is one of the most life-threatening disorders. To improve
survivability, early discovery and good management are encouraged. In this paper, CKD …

[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 …

Chronic kidney disease prediction using machine learning techniques

G Nandhini, J Aravinth - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Early diagnosis and characterization are the important components in determining the
treatment of chronic kidney disease (CKD). CKD is an ailment which tends to damage the …

Chronic kidney disease diagnosis using decision tree algorithms

H Ilyas, S Ali, M Ponum, O Hasan, MT Mahmood… - BMC nephrology, 2021 - Springer
Abstract Background Chronic Kidney Disease (CKD), ie, gradual decrease in the renal
function spanning over a duration of several months to years without any major symptoms, is …

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 …

An intelligent clinical support system for the early diagnosis of the chronic kidney disease

D Swain, H Patel, K Patel, V Sakariya… - 2022 IEEE 2nd …, 2022 - ieeexplore.ieee.org
Chronic kidney disease is a fatal renal illness, affecting a huge percentage of the world's
population. This disease is life-threatening, possessing high morbidity and mortality rates …

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 …

Machine learning to predict end stage kidney disease in chronic kidney disease

Q Bai, C Su, W Tang, Y Li - Scientific reports, 2022 - nature.com
The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

A Statistical Review on Machine Learning Based Medical Diagnostic Systems for Chronic Kidney Disease

A Sharma, D Singh - 2022 3rd International Conference on …, 2022 - ieeexplore.ieee.org
The decision making is a very challenging and complex process while doing the diagnosis
of any specific illness. Huge ambiguities and problems are faced in the process of …