Researchers from The University of Western Australia, working with medtech industry partners Artrya, have developed a new, ...

Alzheimer’s disease continues to rise as one of the most pressing health challenges facing aging populations today. It ...

Today, one of the leading causes of death worldwide is heart disease. A significant challenge in the field of clinical data analysis is the prediction of cardiovascular disease. Machine learning (ML) ...

Heart disease has been one of the leading causes of mortality for individuals all around the world in recent years. The prognosis of heart disease would be difficult due to various risk factors such ...

AI is transforming healthcare into a crystal ball—spotting diseases before they strike. Discover how data-driven prevention ...

Machine learning and surrogate modelling significantly reduced simulation time, enabling personalised cardiac models to be ...

Cardiovascular disease (CVD) is a leading global cause of death, necessitating the development of accurate diagnostic models. This study presents an Optimized Rough Set Theory-Machine Learning (RST-ML ...

Singh et al. (2023) In order to predict cardiovascular disease (CVD) using machine learning algorithms, this study used ensemble approaches. Several classifiers were merged by the authors to increase ...