Calibration of the Heart Model: Dealing with Uncertainty
9 mins 49 secs,
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About this item
| Description: |
Ferrat, L (EPSRC Centre for Predictive Modelling in Healthcare - University of Exeter)
Wednesday 19th April 2017 - 12:25 to 12:35 |
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| Created: | 2017-04-24 14:14 |
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| Collection: | Newton Gateway to Mathematics |
| Publisher: | Isaac Newton Institute |
| Copyright: | Ferrat, L |
| Language: | eng (English) |
| Abstract: | Diastolic heart failure is a chronic condition which touch 450 000 people in UK each year. A model fitted to a patient gives strong insight of the state of the heart of the patient. It could help to target treatment at an individual level. Nevertheless fitting a cardiac model is challenging because accurate cardiac models are slow. We propose a new framework which consists to transform the cardiac model into a statistical model called emulator. The emulator is used to select all the plausible sets of parameters which would fit well the data.
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