Machine Learning Using Institution-Specific Multi-Modal Electronic Health Records Improves Mortality Risk Prediction for Cardiovascular Surgery Patients (IMAGE)

The Mount Sinai Hospital / Mount Sinai School of Medicine

Machine Learning Using Institution-Specific Multi-Modal Electronic Health Records Improves Mortality Risk Prediction for Cardiovascular Surgery Patients

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An institution-specific machine learning-based risk prediction model built using routinely collected EHR data can help patient-level decision making for cardiac surgery, potentially more than population-based models like STS

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Mount Sinai Health System

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