Chang, E.T.Y. and Clayton, R.H. orcid.org/0000-0002-8438-7518 (2016) Uncertainty and sensitivity analysis of the Courtemanche-Ramirez-Nattel human atrial cell model using Gaussian Process emulators. In: 2015 Computing in Cardiology Conference (CinC). 2015 Computing in Cardiology Conference (CinC), 06-09 Sep 2015, 2015 Computing in Cardiology Conference (CinC). IEEE , pp. 857-860. ISBN 9781509006854
Abstract
Models of cardiac cellular electrophysiology are highly detailed with many input parameters. However, the effect of input parameters on model outputs is often not well characterised. Uncertainty and sensitivity analysis using Monte Carlo techniques require large numbers of model runs. In this study we investigated Gaussian Process (GP) emulators, which provide a computationally cheap way to assess uncertainty and sensitivity analysis.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 IEEE. |
Keywords: | Analytical models; Computational modeling; Sensitivity analysis; Mathematical model; Uncertainty; Electric potential |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Funding Information: | Funder Grant number Engineering and Physical Sciences Research Council EP/K037145/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 15 Jun 2022 16:46 |
Last Modified: | 15 Jun 2022 16:46 |
Status: | Published |
Publisher: | IEEE |
Refereed: | Yes |
Identification Number: | 10.1109/CIC.2015.7411046 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:187716 |