Researchers Show That a Machine Learning Model Can Improve Mortality Risk Prediction for Cardiac Surgery Patients [1]
When compared to population-based models, a machine learning-based model improved prediction of mortality risk for cardiac surgery patients. The team used electronic health record data and machine learning methods to demonstrate how institutions can build their own mortality prediction models. The models were tested against STS population-based models for five different surgeries, and were found to have higher accuracy, precision, and recall for each of them.