Surface ECG-Based Machine Learning Model for Predicting Patient Subgroup at a High Risk for Major Adverse Cardiac Events – JACC May 2021
Abstract
"\nSurface ECG-Based Machine Learning Model for Predicting Patient Subgroup at a High Risk for Major Adverse Cardiac Events – JACC May 2021\nMay 16, 2021\n\nECG-derived machine-learning models provide...
"Skip to content\nHome\nProducts\nClinical\nNews\nInvestors\nAbout Us\nContact Us\nINVEST NOW\nPUBLICATIONS\nSurface ECG-Based Machine Learning Model for Predicting Patient Subgroup at a High Risk for Major Adverse Cardiac Events – JACC May 2021\nMay 16, 2021\n\nECG-derived machine-learning models provide a cost-effective strategy for predicting echocardiographically defined patients subgroups at a high-risk of MACE and may aid in optimizing intervention strategies.\n\nLink to article\nSURFACE ECG-BASED MACHINE LEARNING MODEL FOR PREDICTING PATIENT SUBGROUP AT A HIGH RISK FOR MAJOR ADVERSE CARDIAC EVENTS | Journal of the American College of Cardiology (jacc.org)\n