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 …
approximately 10% of the world adult population. CKD is a disorder that disrupts normal …
Performance based evaluation of various machine learning classification techniques for chronic kidney disease diagnosis
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 …
increasing day by day, moving from core areas of computer science they are finding their …
[HTML][HTML] Chronic kidney disease diagnosis using decision tree algorithms
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 …
function spanning over a duration of several months to years without any major symptoms, is …
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 …
deterioration of kidney functions. However, the impairment is irreversible and imperceptible …
[HTML][HTML] Prediction of chronic kidney disease using different classification algorithms
KM Almustafa - Informatics in Medicine Unlocked, 2021 - Elsevier
Chronical kidney disease (CKD) is a common kidney function problem that causes
deterioration of kidney performance and leads to kidney failure. An early diagnostic …
deterioration of kidney performance and leads to kidney failure. An early diagnostic …
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 …
related to various serious risks like cardiovascular disease, heightened risk, and end‐stage …
Computer-aided diagnosis of chronic kidney disease in developing countries: A comparative analysis of machine learning techniques
A Sobrinho, ACMDS Queiroz, LD Da Silva… - IEEE …, 2020 - ieeexplore.ieee.org
The high incidence and prevalence of chronic kidney disease (CKD), often caused by late
diagnoses, is a critical public health problem, especially in developing countries such as …
diagnoses, is a critical public health problem, especially in developing countries such as …
[HTML][HTML] Intelligent diagnostic prediction and classification models for detection of kidney disease
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 …
removed from the body by the kidneys through urine. In the early stages of the condition, the …
Detection of chronic kidney disease using machine learning algorithms with least number of predictors
M Almasoud, TE Ward - International Journal of Soft Computing and Its …, 2019 - doras.dcu.ie
Chronic kidney disease (CKD) is one of the most critical health problems due to its
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …
Clinically applicable machine learning approaches to identify attributes of chronic kidney disease (CKD) for use in low-cost diagnostic screening
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 …
costs of late-stage diagnosis and insufficient testing facilities can contribute to high morbidity …