Abstract
Sensitivity indices obtained from a global variance-based sensitivity analysis can help by identifying which parameters need to be measured accurately and which parameters can be fixed for patientspecific applications. However, the computational cost for obtaining the sensitivity indices becomes prohibitively large with the current gold standard approach when the number of model parameters becomes too high (> 25). We propose an efficient two-step approach for model personalization.
Using this approach personalization of an existing model could be performed using O(103) model runs, compared to O(105) runs had the current gold standard approach been used.
| Original language | English |
|---|---|
| Title of host publication | 4th International Conference Computational & Mathematical Biomedical Engineering, 29 June - 1 July, Paris, France |
| Editors | P. Nithiarasu, E. Budyn |
| Place of Publication | Swansea |
| Publisher | CMBE |
| Pages | 810-813 |
| ISBN (Print) | 978-0-9562914-3-1 |
| Publication status | Published - 2015 |
| Event | 4th International Conference on Computational & Mathematical Biomedical Engineering (CMBE15), June 29-July 1, 2015, Cachan, France - Ecole Normale Superieure de Cachan, Cachan, France Duration: 29 Jun 2015 → 1 Jul 2015 http://www.compbiomed.net/2015/ |
Publication series
| Name | CMBE online proceedings series |
|---|---|
| Volume | 2015 |
| ISSN (Print) | 2227-3085 |
| ISSN (Electronic) | 2227-9385 |
Conference
| Conference | 4th International Conference on Computational & Mathematical Biomedical Engineering (CMBE15), June 29-July 1, 2015, Cachan, France |
|---|---|
| Abbreviated title | CMBE 15 |
| Country/Territory | France |
| City | Cachan |
| Period | 29/06/15 → 1/07/15 |
| Internet address |