Machine learning model improves mortality risk prediction in cardiac surgery

A machine learning-based model appeared to improve prediction of mortality risk for patients undergoing cardiac surgery compared with population-derived models, researchers reported.“The standard-of-care risk models used today are limited by their applicability to specific types of surgeries, leaving out significant numbers of patients undergoing complex or combination procedures for which

Related Keywords

Gaurav Pandey ,Ravi Iyengar ,Icahn School Of Medicine At Mount Sinai ,Lewis Rosenstiel Professor Of Pharmacological Sciences ,Mount Sinai Institute For Systems Biomedicine ,Society Of Thoracic Surgeons ,Lewis Rosenstiel Professor ,Pharmacological Sciences ,Icahn School ,Mount Sinai ,Mount Sinai Institute ,Systems Biomedicine ,Thoracic Surgeons ,Extreme Gradient Boosting ,Icahn Mount Sinai ,Published May ,