Traditional Chinese medicine (TCM) is the practical experience and summary of the
Chinese nation for thousands of years. It shows great potential in treating various chronic …

Focus on predictive algorithm and its performance evaluation is extensively covered in most
research studies to determine best or appropriate predictive model with Optimum prediction …

With the rapid advancement and integration of Artificial Intelligence (AI) in medicine, the
need for new developments and accuracy in Machine Learning (ML) models and algorithms …

Association rule mining is a widely used data mining technique in various domains. It
enables the identification of trends, frequent patterns, and relationships among the data …

Over the last few years, substantial research has been conducted towards developing
efficient abnormal detection techniques while considering efficiency, accuracy, high …

Diabetes has emerged as a significant global health concern, contributing to various severe
complications such as kidney disease, vision loss, and coronary issues. Leveraging …

In this paper, we propose an innovative Federated Learning-inspired evolutionary
framework. Its main novelty is that this is the first time that an Evolutionary Algorithm is …

Diabetes is a long-term condition that occurs when either the body cannot use insulin
properly or the pancreas does not produce sufficient amounts of hormone to control blood …

Data mining has become a popular process in recent times. However, with the increase in
data, traditional data mining methods are not sufficient to solve many problems. Therefore …

Currently, many individuals are experiencing diabetes, which is attributed to work-related
stress and unhealthy lifestyles. Often, people are only aware of their health status once …