Background and objective: Chronic kidney disease (CKD) has a covert nature in its early
stages that could postpone its diagnosis. Early diagnosis can reduce or prevent the …

Background. Chronic kidney disease (CKD) is a covert disease. Accurate prediction of CKD
progression over time is necessary for reducing its costs and mortality rates. The present …

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 …

Kidney failure occurs whenever the kidney stops to operate properly and would be unable to
cleanse or refine the bloodstream as it should. Chronic kidney disease (CKD) is a potentially …

Background and objectives Diagnosis and early intervention of chronic kidney disease are
essential to prevent loss of kidney function and a large amount of financial resources. To this …

Background and objective Aim of nephrologists is to delay the outcome and reduce the
number of patients undergoing renal failure (RF) by applying prevention protocols and …

In recent times, Internet of Things (IoT) and Cloud Computing (CC) paradigms are commonly
employed in different healthcare applications. IoT gadgets generate huge volumes of patient …

This paper aims to assist in the prevention of Chronic Kidney Disease (CKD) by utilizing
machine learning techniques to diagnose CKD at an early stage. Kidney diseases are …

Applications of medical decision support systems (MDSSs) in medicine and healthcare
systems have been significantly raised during recent years. Expert systems play a crucial …

Artificial intelligence is increasingly being adopted in medical fields to predict various
outcomes. In particular, chronic kidney disease (CKD) is problematic because it often …