Background Urinary protein quantification is critical for assessing the severity of chronic
kidney disease (CKD). However, the current procedure for determining the severity of CKD …

Chronic kidney disease (CKD) patients have high risks of end-stage kidney disease (ESKD)
and pre-ESKD death. Therefore, accurately predicting these outcomes is useful among CKD …

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 …

Objectives In this systematic review we aimed at assessing how artificial intelligence (AI),
including machine learning (ML) techniques have been deployed to predict, diagnose, and …

Background Chronic kidney disease (CKD) is common, and associated with increased risk
of cardiovascular disease and end-stage renal disease, which are potentially preventable …

Chronic kidney disease (CKD) is a major burden on the healthcare system because of its
increasing prevalence, high risk of progression to end‐stage renal disease, and poor …

Chronic kidney disease leads to the dysfunctioning of kidneys where it is unable to regulate
and filter minerals from the blood. To help the medical experts, this paper shows the …

Chronic kidney disease (CKD) is a major worldwide health problem, affecting a large
proportion of the world's population and leading to higher morbidity and death rates. The …

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 …

Chronic Kidney disease is a significant public health concern across the world, with rising
incidence and prevalence, as well as negative effects such as renal failure, cardiovascular …