Name
Title | ||
|---|---|---|
A local sensitivity analysis method for developing biological models with identifiable parameters: Application to cardiac ionic channel modelling |
Abstract | ||
|---|---|---|
Computational cardiac models provide important insights into the underlying mechanisms of heart function. Parameter estimation in these models is an ongoing challenge with many existing models being overparameterised. Sensitivity analysis presents a key tool for exploring the parameter identifiability. While existing methods provide insights into the significance of the parameters, they are unable to identify redundant parameters in an efficient manner. We present a new singular value decomposition based algorithm for determining parameter identifiability in cardiac models. Using this local sensitivity approach, we investigate the Ten Tusscher 2004 rapid inward rectifier potassium and the Mahajan 2008 rabbit L-type calcium currents in ventricular myocyte models. We identify non-significant and redundant parameters and improve the models by reducing them to minimum ones that are validated to have only identifiable parameters. The newly proposed approach provides a new method for model validation and evaluation of the predictive power of cardiac models. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.future.2011.09.006 | Future Generation Comp. Syst. |
Keywords | Field | DocType |
biological model,local sensitivity approach,identifiable parameter,parameter estimation,new singular value decomposition,computational cardiac model,parameter identifiability,cardiac ionic channel modelling,existing model,cardiac model,new method,redundant parameter,local sensitivity analysis method,singular value decomposition,model validation,l type calcium channel,sensitivity analysis | Singular value decomposition method,Data mining,Singular value decomposition,Ventricular myocyte,Mathematical optimization,Computer science,Identifiability,Estimation theory,Ionic Channels,Distributed computing | Journal |
Volume | Issue | ISSN |
29 | 2 | 0167-739X |
Citations | PageRank | References |
1 | 0.43 | 0 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna A. Sher | 1 | 1 | 0.43 |
| Ken Wang | 2 | 2 | 0.80 |
| Andrew Wathen | 3 | 64 | 11.71 |
| Philip John Maybank | 4 | 1 | 0.43 |
| Gary R. Mirams | 5 | 84 | 9.30 |
| David Abramson | 6 | 3302 | 393.08 |
| Denis Noble | 7 | 16 | 4.39 |
| David Gavaghan | 8 | 213 | 30.44 |