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

id	sg-nus-scholar.10635-183599
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spelling	sg-nus-scholar.10635-1835992024-11-11T04:28:17Z A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms Canchi, T Kumar, S.D Ng, E.Y.K Narayanan, S ANATOMY 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 abdominal aorta aneurysm biological model biomechanics cardiovascular system computer simulation disease course hydrodynamics image processing machine learning 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 10.1155/2015/861627 BioMed Research International 2015 861627 2020-11-17T08:52:57Z 2020-11-17T08:52:57Z 2015 Review Canchi, T, Kumar, S.D, Ng, E.Y.K, Narayanan, S (2015). A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms. BioMed Research International 2015 : 861627. ScholarBank@NUS Repository. https://doi.org/10.1155/2015/861627 23146133 https://scholarbank.nus.edu.sg/handle/10635/183599 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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 abdominal aorta aneurysm biological model biomechanics cardiovascular system computer simulation disease course hydrodynamics image processing machine learning 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
spellingShingle	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 abdominal aorta aneurysm biological model biomechanics cardiovascular system computer simulation disease course hydrodynamics image processing machine learning 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 Canchi, T Kumar, S.D Ng, E.Y.K Narayanan, S A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms
description	10.1155/2015/861627
author2	ANATOMY
author_facet	ANATOMY Canchi, T Kumar, S.D Ng, E.Y.K Narayanan, S
format	Review
author	Canchi, T Kumar, S.D Ng, E.Y.K Narayanan, S
author_sort	Canchi, T
title	A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms
title_short	A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms
title_full	A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms
title_fullStr	A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms
title_full_unstemmed	A Review of Computational Methods to Predict the Risk of Rupture of Abdominal Aortic Aneurysms
title_sort	review of computational methods to predict the risk of rupture of abdominal aortic aneurysms
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/183599
_version_	1821195931795587072

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

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