Prediction of Left Ventricular Mechanics Using Machine Learning-Reference-Cited by-同舟云学术

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Prediction of Left Ventricular Mechanics Using Machine Learning

Published:2019-09-06 Issue: Volume:7 Page:
ISSN:2296-424X
Container-title:Frontiers in Physics
language:
Short-container-title:Front. Phys.

Author:

Dabiri Yaghoub,Van der Velden Alex,Sack Kevin L.,Choy Jenny S.,Kassab Ghassan S.,Guccione Julius M.

Publisher

Frontiers Media SA

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy,Mathematical Physics,Materials Science (miscellaneous),Biophysics

Reference37 articles.

1. Heart disease and stroke statistics-−2019 update: a report from the American Heart Association;Benjamin;Circulation.,2019

2. Forecasting the impact of heart failure in the United States: a policy statement from the American Heart Association;Heidenreich;Circ Heart Fail.,2013

3. Partial LVAD restores ventricular outputs and normalizes LV but not RV stress distributions in the acutely failing heart in silico;Sack;Int J Artif Organs.,2016

4. Relationship of transmural variations in myofiber contractility to left ventricular ejection fraction: implications for modeling heart failure phenotype with preserved ejection fraction;Dabiri;Front Physiol,2018

5. Investigating the role of interventricular interdependence in development of right heart dysfunction during LVAD support: a patient-specific methods-based approach;Sack;Front Physiol,2018

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