Mining data from hemodynamic simulations via Bayesian emulation

Mining data from hemodynamic simulations via Bayesian emulation

Background: Arterial geometry variability is inevitable both within and across individuals. To ensure realistic prediction of cardiovascular flows, there is a need for efficient numerical methods that can systematically account for geometric uncertainty. Methods and results: A statistical framework...

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Bibliographic Details
Main Authors: Bressloff, Neil W, Kolachalama, Vijaya Bhasker, Nair, Prasanth B.
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:English
Published: BioMed Central Ltd 2010
Online Access:http://hdl.handle.net/1721.1/58922

Internet

http://hdl.handle.net/1721.1/58922

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