Cargando…
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...
| Autores principales: | , , |
|---|---|
| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2007
|
| Materias: | |
| 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 |