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

Machine learning player Zebra Medical Vision has come up with two new algorithms that can help predict patients’ risk of cardiovascular events. Applying them to routine CT scans could help ...

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.

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.

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.

Machine learning is coming for our hearts: How AI can help the health care industry fight heart disease. LOGIN. ... Many of these devices are powered by machine-learning algorithms fueled with ...

"Using the eye as a window into heart disease." ScienceDaily. www.sciencedaily.com / releases / 2022 / 01 / 220125112548.htm (accessed May 22, 2025). Explore More ...