Introduction: Chronic kidney disease (CKD) includes a wide range of pathophysiological
processes which will be observed along with abnormal function of kidneys and progressive …

Early detection and characterization are considered to be critical factors in the management
and control of chronic kidney disease. Herein, use of efficient data mining techniques is …

Aims Diabetic kidney disease (DKD) is the most common cause of end-stage renal disease
(ESRD) and is associated with increased morbidity and mortality in patients with diabetes …

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 …

Background. Diabetic kidney disease (DKD), one of the complications of diabetes in
patients, leads to progressive loss of kidney function. Timely intervention is known to …

Purpose Timely risk assessment of chronic kidney disease (CKD) and proper community-
based CKD monitoring are important to prevent patients with potential risk from further …

Abstract Chronic Kidney Disease (CKD) is a condition characterized by a gradual loss of
kidney function over time. In national and international guidelines, CKD is organized into …

Artificial intelligence (AI) is expanding its roots in medical diagnostics. Various acute and
chronic diseases can be identified accurately at the initial level by using AI methods to …

This paper implies an investigative approach to study the performance of different boosting
algorithms in predicting chronic kidney disease (CKD) more accurately. In recent years, CKD …

Objective Screening for chronic kidney disease (CKD) requires an estimated glomerular
filtration rate (eGFR, mL/min/1.73 m2) from a blood sample and a proteinuria level from a …