Machine Learned Cellular Phenotypes in Cardiomyopathy Predict Sudden Death.
Journal:
Circulation research
PMID:
33167779
Abstract
RATIONALE: Susceptibility to VT/VF (ventricular tachycardia/fibrillation) is difficult to predict in patients with ischemic cardiomyopathy either by clinical tools or by attempting to translate cellular mechanisms to the bedside.
Authors
Keywords
Action Potentials
Aged
Aged, 80 and over
Cardiomyopathies
Death, Sudden, Cardiac
Diagnosis, Computer-Assisted
Electrophysiologic Techniques, Cardiac
Female
Humans
Male
Middle Aged
Myocardial Infarction
Neural Networks, Computer
Phenotype
Predictive Value of Tests
Prognosis
Prospective Studies
Risk Assessment
Risk Factors
Signal Processing, Computer-Assisted
Support Vector Machine
Tachycardia, Ventricular
Time Factors
Ventricular Fibrillation