Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …

Credit cards play an essential role in today's digital economy, and their usage has recently
grown tremendously, accompanied by a corresponding increase in credit card fraud …

Abstract Integrating Machine Learning (ML) in medicine has unlocked many opportunities to
harness complex medical data, enhancing patient outcomes and advancing the field …

Kidneys are the functional units of our body. They assist in body balance by filtering the
wastes, toxins, and excess water from the bloodstream and are carried out of the body …

Chronic kidney disease (CKD) is a potentially fatal condition that is difficult to identify early
due to the absence of symptoms. The suggested study's goal is to create and verify a …

Chronic kidney disease (CKD) has become a major global health crisis, causing millions of
yearly deaths. Predicting the possibility of a person being affected by the disease will allow …

Chronic Kidney Disease (CKD) is currently experiencing a growing worldwide incidence
and can lead to premature mortality if diagnosed late, resulting in rising costs to healthcare …

One of the most difficult challenges in medicine is predicting heart disease at an early stage.
In this study, six machine learning (ML) algorithms, viz., logistic regression, K-nearest …

With the rapid developments in electronic commerce and digital payment technologies,
credit card transactions have increased significantly. Machine learning (ML) has been vital …

Credit card fraud is a common occurrence in today's society because the majority of us use
credit cards as a form of payment more frequently. This is the outcome of developments in …