In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction ... model output. The model selects relevant features using the recursive ...

To develop their model, the researchers used a machine learning algorithm ... realized they could also use them to look for genetic variants associated with heart disease. The traditional method ...

To analyse the data, the researchers developed three predictive machine learning models. The first, a clinical model ... the use of artificial intelligence methods for integrating multimodality ...

This can expand the ability to test how different environmental or genetic factors affect heart aging or pathology. Melkani envisions using ... the machine learning approach can predict cardiac aging ...

Increasing evidence of COVID-19's negative impacts on the cardiovascular system highlights a great need for identifying COVID-19 patients at risk for heart problems ... For new patients, the model ...

The new machine-learning ... edge computer model has the potential to predict and explain the effects of drugs for other diseases as well. "Many common diseases such as heart disease, metabolic ...

They say their method could be used to predict future ... humans and the machine-learning model “This is notable as these are the individuals with the greatest extent of disease and highest ...

Drosophila -- known as fruit flies -- are a valuable model ... more of the heart region, using deep learning and high-speed video microscopy for each heartbeat in the fly. "Our machine learning ...