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A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms

A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms

10.1155/2015/861627

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Bibliographic Details
Main Authors: Canchi, T, Kumar, S.D, Ng, E.Y.K, Narayanan, S
Other Authors: ANATOMY
Format: Review
Published: 2020
Subjects:
abdominal aorta aneurysm
aneurysm rupture
aorta aneurysm
blood flow
computational fluid dynamics
computer model
computer prediction
computer system
flow kinetics
fluid structure interaction method
human
machine learning
Review
shear stress
biological model
biomechanics
cardiovascular system
computer simulation
disease course
hydrodynamics
image processing
nervous system
pathophysiology
risk factor
Aortic Aneurysm, Abdominal
Biomechanical Phenomena
Cardiovascular System
Computer Simulation
Disease Progression
Humans
Hydrodynamics
Image Processing, Computer-Assisted
Machine Learning
Models, Cardiovascular
Nervous System
Risk Factors
Online Access:https://scholarbank.nus.edu.sg/handle/10635/183599
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Institution: National University of Singapore
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Internet

https://scholarbank.nus.edu.sg/handle/10635/183599

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