Diabetes is one of the most common diseases worldwide. Many Machine Learning (ML)
techniques have been utilized in predicting diabetes in the last couple of years. The …

Diabetes has become one of the significant reasons for public sickness and death in
worldwide. By 2019, diabetes had affected more than 463 million people worldwide …

Identification and quantification of insulin resistance require specific blood test which is
complex, time-consuming, and much more invasive, making it difficult to track the changes …

In this paper, the performance comparison of the machine learning techniques on diabetes
disease detection is carried out. Diabetes disease attracts great attention in the machine …

The early diagnosis of type 2 diabetes mellitus (T2DM) will provide an early treatment
intervention to control disease progression and minimise premature death. This paper …

Areas where Artificial Intelligence (AI) & related fields are finding their applications are
increasing day by day, moving from core areas of computer science they are finding their …

Today, people's new way of life leads their eating habits towards fast-foods and ready-to-use
products more than before. These foods contain large amounts of sugar and fat, which …

Objective This paper presents an innovative idea of applying a hybrid ensemble technique
ie ensemble of ensemble methods for improving the predictive performance of Artificial …

The aim of the present work focuses on exploring the feasibility of analyzing the relationship
between diabetes mellitus and several element levels in hair/urine specimens by …

Diabetes is the most common disease all over the world and it must be detected early to
receive proper treatment, which can prevent the condition from becoming more severe …