Study: Comprehensive evaluation and performance analysis of machine learning in heart disease prediction ... using the recursive feature elimination method (RFEM) and the genetic algorithm ...

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 ...

Patients with CCTA scans suggestive of disease received ... modeling was conducted using a 10-fold cross validated boosted ensembles approach, a machine learning algorithm called LogitBoost ...

To develop their model, the researchers used a machine learning algorithm called ... they could also use them to look for genetic variants associated with heart disease. The traditional method ...

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 ... UK have developed a machine-learning algorithm that can predict your likelihood of having a heart attack or stroke ...