Applications of Machine learning (ML) in health informatics have gained increasing
attention. The timely diagnosis of kidney disease and the subsequent immediate response …

Background Kidney disease progression rates vary among patients. Rapid and accurate
prediction of kidney disease outcomes is crucial for disease management. In recent years …

Diabetes and high blood pressure are the primary causes of Chronic Kidney Disease (CKD).
Glomerular Filtration Rate (GFR) and kidney damage markers are used by researchers …

Lung cancer is one of the most common diseases for human beings everywhere throughout
the world. Early identification of this disease is the main conceivable approach to enhance …

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 …

Background and objective Chronic kidney disease is a severe health problem that affects
people all over the world, particularly in South Asia. Therefore, proper diagnosis and …

Data categorization is a top concern in medical data to predict and detect illnesses; thus, it is
applied in modern healthcare informatics. In modern informatics, machine learning and …

A clinical diagnosis of chronic kidney disease (CKD) is commonly achieved by estimating
the serum levels of urea and creatinine (CR). Given the limitations of the conventional …

Chronic kidney disease (CKD) is one of the serious health concerns in the twenty-first
century. CKD impacts over 37 million Americans. By applying machine learning (ML) …

Chronic Kidney Disease (CKD) has become a prevalent disease nowadays, affecting
people globally around the world. Accurate prediction of CKD progression over time is …