Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death

Abstract

Machine learning of action potential recordings in patients revealed novel phenotypes for long-term outcomes in ischemic cardiomyopathy. Such computational phenotypes provide an approach which may reveal cellular mechanisms for clinical outcomes and could be applied to other conditions.