News

Home > News & Events > Mayo Clinic Researchers Present how Medial EarlySign’s Machine Learning Techniques Help Forecast Patient Prognosis after Percutaneous Coronary Intervention

Mayo Clinic Researchers Present how Medial EarlySign’s Machine Learning Techniques Help Forecast Patient Prognosis after Percutaneous Coronary Intervention

Mayo Clinic Researchers Present how Medial EarlySign’s Machine Learning Techniques Help Forecast Patient Prognosis after Percutaneous Coronary Intervention

Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention

 

Presented at the American Heart Association’s (AHA) Scientific Sessions 2016.

 

Introduction: Contemporary risk models for event prediction after percutaneous coronary intervention (PCI) have limited predictive ability. Machine learning (ML) methods have the potential to identify complex non-linear patterns, improving predictive power.

 

View the full abstract here.