Prediction of Left Ventricular Mechanics Using Machine Learning

Prediction of Left Ventricular Mechanics Using Machine Learning

The goal of this paper was to provide a real-time left ventricular (LV) mechanics simulator using machine learning (ML). Finite element (FE) simulations were conducted for the LV with different material properties to obtain a training set. A hyperelastic fiber-reinforced material model was used to d...

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Bibliographic Details
Main Authors: Yaghoub Dabiri, Alex Van der Velden, Kevin L. Sack, Jenny S. Choy, Ghassan S. Kassab, Julius M. Guccione
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-09-01
Series:Frontiers in Physics
Subjects:
left ventricle
machine learning
finite element method
XGBoost
Cubist
Online Access:https://www.frontiersin.org/article/10.3389/fphy.2019.00117/full

Internet

https://www.frontiersin.org/article/10.3389/fphy.2019.00117/full

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