[PDF][PDF] Research Article Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques

EM Senan, MH Al-Adhaileh, FW Alsaade… - 2021 - academia.edu
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 …

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 …

[HTML][HTML] Analysis of the performance of feature optimization techniques for the diagnosis of machine learning-based chronic kidney disease

MM Hossain, RA Swarna, R Mostafiz, P Shaha… - Machine Learning with …, 2022 - Elsevier
Chronic kidney disease (CKD) slowly decreases one's kidney ability. A machine learning
(ML) based early CKD diagnosis scheme can be an effective solution to reduce this harm …

[PDF][PDF] Predicting Chronic Kidney Disease Risk Using Recursive Feature Elimination and Machine Learning

A Saxena, A Ganguly, AK Shrivastava - Int J Innov Res Technol Manag, 2020 - ijirtm.com
ABSTRACT The Chronic Kidney Disease (CKD) is a global public health issue with a
growing incidence, pervasiveness, and high cost. To turn into more focus on real insinuation …

Early Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms with Least Parameters by RFE and Feature Importance Techniques

K Kavitha, K Kala - Proceedings of First International Conference on …, 2021 - Springer
CKD is a major health problem globally affecting the population severely. Percentage of the
prevalence of CKD is increasing day by day all over the world. Early detection of CKD would …

Diagnosis of chronic kidney disease using hybrid algorithm

NS Abd, DA Abdulah - AIP Conference Proceedings, 2023 - pubs.aip.org
This disease has become common due to the substances and things we eat. Death is
imminent and inevitable in a few days without at least one functioning kidney. Ignoring …

Classification of chronic kidney disease with genetic search intersection based feature selection technique

SK Sahu, PK Chandrakar - 4th International Conference on Internet of …, 2020 - Springer
The objective of this study had reduced the identification time and to get best diagnosis
model in Chronic Kidney Disease (CKD). The target was development of the strong and …

Machine learning approaches to identify significant features for the diagnosis and prognosis of chronic kidney disease

NI Mahbub, MI Hasan, MM Ahamad… - … on Innovations in …, 2022 - ieeexplore.ieee.org
Chronic kidney disease (CKD) is a long-term disease in which the kidneys are failed and
needed dialysis or kidney transplantation in the severe stage. Thirty-seven million people in …

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 …

An Optimized Diagnostic Model for Chronic Kidney Disease

RO Osaseri, AF Iwebuke - Journal of Electrical Engineering, Electronics …, 2023 - jeeeccs.net
Abstract Chronic Kidney Disease (CKD) is a gradual loss of renal function over a period of
time. It is a major global health problem and a leading cause of death, especially in …