Calibration of the Heart Model: Dealing with Uncertainty

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• Lauric Ferrat (EPSRC Centre for Predictive Modelling in Healthcare, University of Exeter)
• Wednesday 19 April 2017, 12:25-12:35
• Seminar Room 1, Newton Institute.

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TGMW42 - Developments in Healthcare Imaging – Connecting with Academia

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.

This talk is part of the Isaac Newton Institute Seminar Series series.

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