Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction.Image Credit: Summit Art Creations/Shutterstock.com. Background. Heart disease is a ...

Google’s new AI algorithm predicts heart disease by looking at your eyes. Experts say it could provide a simpler way to predict ... a person’s risk of heart disease using machine learning.

This study examined the accuracy of machine learning using stress CMR and clinical data to predict 10-year all-cause mortality in patients with suspected or known coronary artery disease, and ...

Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...

After feature selection, modeling was conducted using a 10-fold cross validated boosted ensembles approach, a machine learning algorithm called LogitBoost, to analyze clinical, PET, and CCTA data.

In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a subject had heart disease or diabetes based on the presented symptoms and ...

In putting it to the test, the team had the machine learning algorithm analyze single X-ray images and classify the severity of edema, ranging from 0 (healthy) to 3 (very, very bad).