Next Generation Program Researcher Develops Machine-Learning Program To Identify Deadly Disease
Next Generation Program Researcher Develops Machine-Learning Program To Identify Deadly Disease
Juan Banda, a Next Generation Program computer science researcher and collaborators at the Stanford University School of Medicine have developed new software that uses a machine-learning computer program to determine whether a patient is likely to have a genetic disease that can lead to heart attack or stroke. Machine learning is a method of data analysis that uses algorithms and statistical models to identify patterns and make decisions with minimal human intervention.