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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Detalles Bibliográficos
Autores principales: Kolachalama, Vijaya B, Bressloff, Neil W, Nair, Prasanth B
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2231366/
https://www.ncbi.nlm.nih.gov/pubmed/18078522
http://dx.doi.org/10.1186/1475-925X-6-47

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2231366/
https://www.ncbi.nlm.nih.gov/pubmed/18078522
http://dx.doi.org/10.1186/1475-925X-6-47

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