How can digital tools bridge health care gaps in developing regions, enabling rapid scaling of early dementia screening, and ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

This study offers important insights into the development of infants' responses to music based on the exploration of EEG neural auditory responses and video-based movement analysis. The convincing ...

A Decision Making Centers (DMC) Environment facilitates the understanding of complex problems and simplifies the decision making process of policy makers and stakeholders by playing out several what ...

Data mining methods have been employed successfully in several industries, including education, where they are known as educational data mining methods. Educational data mining aims to extract ...

In data mining, two primary goals are considered when choosing the task, which is predictive versus descriptive. (16) Both methods aim to extract knowledge from a given set of data; however, there are ...