Institution-specific machine learning model can predict cardiac patient's mortality risk prior to surgery
A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a significant performance advantage over current population-derived models.
Source: news-medical.net