Risk prediction for cardiovascular related diseases using PRS and EHR in the Framingham Heart Study.

Abstract excerpt

Cardiovascular disease is a leading cause of mortality and rising healthcare costs worldwide. Fortunately, the disease is preventable, and addressing risk factors can significantly reduce its effects. Over the past decade, risk prediction models have advanced significantly, with polygenic risk scoring analysis, which is often used in combination with clinical health information for prediction. However, most...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Aged
• Share to Algorithms
• Share to Cardiovascular Diseases