ML-HDPM, a deep learning model, has lower false-positive rates (FPR) in training (8.20%) and testing (15%) than other approaches due to feature selections, data balance, and improved machine ...

A team at Florida International University is using digital stethoscopes and machine learning to analyze heartbeats, similar to how a musician picks up an off-key note. Their models are showing 95 ...

Moreover, the machine learning approach can predict cardiac aging with high accuracy.” The fruit fly model has already been tremendously powerful for understanding the pathophysiological bases for ...