The main goals of this work are to study and compare machine learning algorithms to predict
the development of type 2 diabetes mellitus. Four classification algorithms have been …

Predicting a student's grade has become increasingly important in order to determine
whether or not the student will be placed In order to develop after this and obtain better …

Background The aim of this study was to evaluate the potential models to determine the
most important anthropometric factors associated with type 2 diabetes mellitus (T2DM) …

Traffic sign classification automatically detects roadside traffic signs, such as speed limit
signs, yield signs, etc. Automatically recognizing traffic signs enables the development of …

Lung cancer is a leading cause of cancer-related deaths worldwide, emphasizing the
importance of early detection. Although Computed Tomography (CT) images are widely …

Over the world, crimes are becoming increasingly complicated and technologically
advanced. It has become essential to prioritize actions targeting crime categories within …

Class imbalance is a significant problem in many real-time domains dealing with healthcare
data, which leads to poor classification performance and may have severe consequences …

The impact of best diabetes disease care., the worldwide ever-growing chronic metabolic
condition., is based on the short time of diagnosis and therapy. The risk prediction …

Diabetes is a chronic disease caused by the presence of elevated blood sugar levels.
Significant reductions in the risk factor and severity of diabetes can be achieved by the …

This study aims to simplify human-computer interaction and make it more user-friendly by
incorporating gesture recognition. Individuals can interact with machines without physical …