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Calibration of the Heart Model: Dealing with Uncertainty

Presented by: 
Lauric Ferrat EPSRC Centre for Predictive Modelling in Healthcare - University of Exeter
Wednesday 19th April 2017 -
12:25 to 12:35
INI Seminar Room 1
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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University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons