Name
Title | ||
|---|---|---|
Simulation, identification and statistical variation in cardiovascular analysis (SISCA) - A software framework for multi-compartment lumped modeling. |
Abstract | ||
|---|---|---|
It has not yet been possible to obtain modeling approaches suitable for covering a wide range of real world scenarios in cardiovascular physiology because many of the system parameters are uncertain or even unknown. Natural variability and statistical variation of cardiovascular system parameters in healthy and diseased conditions are characteristic features for understanding cardiovascular diseases in more detail. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compbiomed.2017.05.021 | Computers in Biology and Medicine |
Keywords | Field | DocType |
Windkessel elements,Lumped models,0D modeling,Multi-compartment modeling,Cardiovascular simulation,Distributed parameter modeling,Clinical data set,Coarctation of aorta,Patient-specific models,Disease-specific models,Multiscale modeling | Data set,Parametrization,Computer science,Artificial intelligence,System identification,Statistical ensemble,Patient-Specific Modeling,Pattern recognition,Simulation,Algorithm,Multiscale modeling,Periodic boundary conditions,Systems modeling | Journal |
Volume | ISSN | Citations |
87 | 0010-4825 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rudolf Huttary | 1 | 0 | 0.34 |
| Leonid Goubergrits | 2 | 5 | 5.64 |
| Christof Schütte | 3 | 167 | 35.19 |
| Stefan Bernhard | 4 | 0 | 0.34 |