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

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 …

The process of identifying a health problem, illness, disorder, or other condition is known as
disease diagnosis. Diagnosing certain diseases may be quite simple at times, but there may …

Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …

In this digital world, data is an asset, and enormous data was generating in all the fields.
Data in the healthcare industry consists of patient information and disease-related …

Chronic kidney disease (CKD) is a major public health concern with rising prevalence. In
this study we consider 24 predictive parameters and create a machine learning classifier to …

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 …

Chronic Kidney disease is a severe lifelong condition caused either by renal disease or by
impaired functions of the kidneys. In the present area of research, Kidney cancer is one of …

Monitoring stations have been established to combat water pollution, improve the
ecosystem, promote human health, and facilitate drinking water production. However …