Technological development, including machine learning, has a huge impact on health
through an effective analysis of various chronic diseases for more accurate diagnosis and …

In medical care, side effect trial and error processes are utilized for the discovery of hidden
reasons for ailments and the determination of conditions. In our exploration, we used a …

In the modern world, chronic kidney disease is one of the most severe diseases that
negatively affects human life. It is becoming a growing problem in both developed and …

Chronic kidney disease (CKD) refers to the failure of the renal functionalities that leads to the
deposition of wastes, electrolytes and other fluids in the body. It is very important to …

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 …

The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

Chronic kidney disease (CKD) is a global health problem with high morbidity and mortality
rate, and it induces other diseases. Since there are no obvious symptoms during the early …

In numerous perilous cases, a quick medical decision is needed for the early detection of
chronic diseases to avoid austere consequences that may be fatal. Chronic kidney disease …

Clinical decision-making in chronic disorder prognosis is often hampered by high variance,
leading to uncertainty and negative outcomes, especially in cases such as chronic kidney …