Deriving Explainable Metrics of Left Ventricular Flow by Reduced-Order Modeling and Classification
María Guadalupe Borja,
Pablo Martinez-Legazpi,
Cathleen Nguyen
et al.
Abstract:BackgroundExtracting explainable flow metrics is a bottleneck to the clinical translation of advanced cardiac flow imaging modalities. We hypothesized that reduced-order models (ROMs) of intraventricular flow are a suitable strategy for deriving simple and interpretable clinical metrics suitable for further assessments. Combined with machine learning (ML) flow-based ROMs could provide new insight to help diagnose and risk-stratify patients.MethodsWe analyzed 2D color-Doppler echocardiograms of 81 non-ischemic … Show more
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