Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.
Journal:
JACC. Cardiovascular imaging
PMID:
40146099
Abstract
BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.
Authors
Keywords
Adult
Aged
Aortic Valve
Aortic Valve Insufficiency
Decision Support Techniques
Disease Progression
Female
Humans
Machine Learning
Magnetic Resonance Imaging, Cine
Male
Middle Aged
Phenotype
Predictive Value of Tests
Prognosis
Reproducibility of Results
Retrospective Studies
Risk Assessment
Risk Factors
Severity of Illness Index
Sex Factors
Time Factors
United States
Unsupervised Machine Learning
Ventricular Function, Left