Tag: mortality predictors

Researchers Show That a Machine Learning Model Can Improve Mortality Risk Prediction for Cardiac Surgery Patients

sarah JonasResearch Results

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.

New Risk Score Predicts Mortality for Atrial Fibrillation Patients Undergoing Transcatheter Aortic Valve Replacement

sarah JonasResearch Results

Mount Sinai researchers develop new risk stratification tool to optimize patient care and outcomes after TAVR

Mount Sinai Researchers Build Models Using Machine Learning Technique to Enhance Predictions of COVID-19 Outcomes

sarah JonasResearch Results

Mount Sinai researchers have published one of the first studies using federated learning to examine electronic health records to better predict how COVID-19 patients will progress.