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.
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