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

Data mining (DM) is an instrument of pattern detection and retrieval of knowledge from a
large quantity of data. Many robust early detection services and other health-related …

Chronic Kidney Disease is one of the most critical illness nowadays and proper diagnosis is
required as soon as possible. Machine learning technique has become reliable for medical …

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 …

There are several machine learning techniques that are used to perform predictive analytics
over big data in various fields. Predictive analytics in healthcare is a challenging task but …

Abstract INTRODUCTION: Chronic Kidney Disease refers to the slow, progressive
deterioration of kidney functions. However, the impairment is irreversible and imperceptible …

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 (CKD) is one of the most critical health problems due to its
increasing prevalence. In this paper, we aim to test the ability of machine learning algorithms …

Anomaly detection is a crucial aspect for both safety and efficiency of modern process
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …

It is a serious global health concern that chronic kidney disease (CKD) kills millions of
people each year as a result of poor lifestyle choices and inherited factors. Effective …