... a machine learning (ML) model to determine a tissue sample's yield point. We present a trained machine learning model from 279 uniaxial extension curves from testing aneurysmal/nonaneurysmal and longitudinal/circumferential oriented tissue specimens that multiple experts labeled through an adjudication...

... cardiovascular modeling machine learning uncertainty quantification model inference Air Force Office of Scientific Research 10.13039/100000181 FA9550-22-1-0065 National Science Foundation 10.13039/100000001 OAC-2047127 Hemodynamics information, e.g., fractional flow reserve...

... resulting from a variable reduction procedure. We compared the performance of the NN models with two standard machine learning algorithms (MARS: multivariate adaptive regression splines and GAM: generalized additive model) and a linear regression model (GLM: generalized linear model). With the reduced sets...