In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction ... and overfitting. The proposed approaches use modern technology ...

Scripps Research study combines AI, genomics, and health records to create personalized heart attack risk predictions. ABC ...

Scientists from Google and its health-tech subsidiary Verily have discovered a new way to assess a person’s risk of heart disease using machine learning ... then be used to predict their ...

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.

The National Heart Center Singapore (NHCS) announces a major advancement in cardiac care research with the implementation of ...

Included among these proposed lipid indexes are the ratio ... phospholipid level for subjects with coronary heart disease (190 mg. per 100 ml.) and those remaining free from it (174 mg.

Bayer strengthens ties with Huma, collaborating on AI to classify lung cancer types The screening tool is powered by an algorithm that Huma developed using ... to predict heart disease risk ...

The proposed imaging system developed ... More information: Ali Raad Hassoon et al, Tongue Disease Prediction Based on Machine Learning Algorithms, Technologies (2024). DOI: 10.3390 ...