A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.

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.

To develop their model, the researchers used a machine learning algorithm called an autoencoder, ... ECG-based AI model can predict undiagnosed structural heart disease. May 25, 2022.

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.

For example, by preventing hospitalizations in cases of just two widespread chronic illnesses — heart disease and diabetes — the United States could save billions of dollars a year.

An estimated 20 million people die each year due to cardiovascular disease. Luckily, a team of researchers from the University of Nottingham in the UK have developed a machine-learning algorithm ...

A machine‐learning algorithm to grade heart murmurs and stage preclinical myxomatous mitral valve disease in dogs. Journal of Veterinary Internal Medicine , 2024; DOI: 10.1111/jvim.17224 Cite ...