In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease ... using the recursive feature elimination method (RFEM) and the genetic algorithm ...

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

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

Researchers may be able to predict cardiovascular disease -- such as arterial fibrillation and heart failure ... Researchers said the use of AI and machine learning can accelerate our ability ...

"While traditional clinical models are easy to use, we can now use machine learning ... factors for heart disease. Leveraging new technologies is a promising way to improve risk prediction.

By using large bio-signal datasets, machine-learning ... predict when that heartbeat will occur. Once we’ve trained the algorithm to do this, it will have found a relationship between someone ...

Researchers have developed a machine learning algorithm ... heart scan (echocardiogram) by a cardiologist to grade any heart murmurs and identify cardiac disease, and heart sounds were recorded ...

These algorithms — so named because their basic shape is inspired by the connections between brain cells — have succeeded at many complex tasks once considered impractical. Large language models, ...