Researchers Show That A Machine Learning Model Can Improve Mortality Risk

A research team from Mount Sinai has developed a machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients. This model provides a significant performance advantage over current population-derived models and is the first institution-specific model for assessing a cardiac patient’s risk prior to surgery. The team’s work was published in The Journal of Thoracic and Cardiovascular Surgery (JTCVS) Open.