White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology

White Paper: Uncertainty and variability in computational and mathematical models of cardiac physiology

The Cardiac Physiome effort is one of the most mature and successful applications of mathematical and computational models for describing and advancing the understanding of physiology. After five decades of development, physiological cardiac models are poised to realise the promise of translational...

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Bibliografiske detaljer
Main Authors:	Mirams, G, Pathmanathan, P, Gray, R, Challenor, P, Clayton, R
Format:	Journal article
Udgivet:	Wiley 2016

Lignende værker

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
af: Johnstone, R, et al.
Udgivet: (2015)

Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models?
af: Johnstone, R, et al.
Udgivet: (2015)

The significant effect of the choice of ionic current integration method in cardiac electro-physiological simulations
af: Pathmanathan, P, et al.
Udgivet: (2011)

Data-Driven Uncertainty Quantification for Cardiac Electrophysiological Models: Impact of Physiological Variability on Action Potential and Spiral Wave Dynamics
af: Pras Pathmanathan, et al.
Udgivet: (2020-11-01)

Computational modelling of cardiac electro−physiology: explanation of the variability of results from different numerical solvers
af: Pathmanathan, P, et al.
Udgivet: (2012)

Comprehensive Uncertainty Quantification and Sensitivity Analysis for Cardiac Action Potential Models
af: Pras Pathmanathan, et al.
Udgivet: (2019-06-01)

Australia’s Foreign Policy White Paper: Dealing with Uncertainty
af: Bateman, Sam
Udgivet: (2017)

Computational modelling of cardiac electrophysiology: Explanation of the variability of results from different numerical solvers
af: Pathmanathan, P, et al.
Udgivet: (2012)

Computational modelling of cardiac electrophysiology: explanation of the variability of results from different numerical solvers.
af: Pathmanathan, P, et al.
Udgivet: (2012)

Ensuring reliability of safety-critical clinical applications of computational cardiac models
af: Pras ePathmanathan, et al.
Udgivet: (2013-12-01)

Hierarchical Bayesian modelling of variability and uncertainty in synthetic action potential traces
af: Johnstone, R, et al.
Udgivet: (2017)

Evaluating computational efforts and physiological resolution of mathematical models of cardiac tissue
af: Karoline Horgmo Jæger, et al.
Udgivet: (2024-07-01)

A computational modeling framework for pre-clinical evaluation of cardiac mapping systems
af: Suran Galappaththige, et al.
Udgivet: (2023-07-01)

Chaste: an open source C++ library for computational physiology and biology
af: Mirams, G, et al.
Udgivet: (2013)

Chaste: an open source C++ library for computational physiology and biology
af: Mirams, G, et al.
Udgivet: (2013)

Chaste: an open source C++ library for computational physiology and biology
af: Mirams, G, et al.
Udgivet: (2013)

Addressing the impact of environmental uncertainty in plankton model calibration with a dedicated software system: the Marine Model Optimization Testbed (MarMOT 1.1 alpha)
af: J. C. P. Hemmings, et al.
Udgivet: (2012-04-01)

CARDIAC ELECTROMECHANICS: THE EFFECT OF CONTRACTION MODEL ON THE MATHEMATICAL PROBLEM AND ACCURACY OF THE NUMERICAL SCHEME
af: Pathmanathan, P, et al.
Udgivet: (2010)

Cardiac Electromechanics: The effect of contraction model on the mathematical problem and accuracy of the numerical scheme
af: Pathmanathan, P, et al.
Udgivet: (2010)

CARDIAC ELECTROMECHANICS: THE EFFECT OF CONTRACTION MODEL ON THE MATHEMATICAL PROBLEM AND ACCURACY OF THE NUMERICAL SCHEME
af: Pathmanathan, P, et al.
Udgivet: (2010)

Cardiac electromechanics: the effect of contraction model on the mathematical problem and accuracy of the numerical scheme
af: Pathmanathan, P, et al.
Udgivet: (2010)

Editorial: Mathematical and computational methods in physiology
af: Pedro Femia, et al.
Udgivet: (2022-08-01)

Validation and Trustworthiness of Multiscale Models of Cardiac Electrophysiology
af: Pras Pathmanathan, et al.
Udgivet: (2018-02-01)

The potential of an observational data set for calibration of a computationally expensive computer model
af: D. J. McNeall, et al.
Udgivet: (2013-10-01)

Chaste: an open source C++ library for computational physiology and biology.
af: Gary R Mirams, et al.
Udgivet: (2013-01-01)

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Udgivet: (2004)

Variability in high−throughput ion channel screening data and consequences for cardiac safety assessment
af: Elkins, R, et al.
Udgivet: (2013)

Variability in high-throughput ion-channel screening data and consequences for cardiac safety assessment
af: Elkins, R, et al.
Udgivet: (2013)

Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar.
af: Suran Galappaththige, et al.
Udgivet: (2022-10-01)

Credibility assessment of patient-specific computational modeling using patient-specific cardiac modeling as an exemplar
af: Suran Galappaththige, et al.
Udgivet: (2022-10-01)

A computational study of discrete mechanical tissue models.
af: Pathmanathan, P, et al.
Udgivet: (2009)

A computational study of discrete mechanical tissue models
af: Pathmanathan, P, et al.
Udgivet: (2009)

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Udgivet: (2021)

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Udgivet: (2014-03-01)

A Parsimonious Model of the Rabbit Action Potential Elucidates the Minimal Physiological Requirements for Alternans and Spiral Wave Breakup.
af: Richard A Gray, et al.
Udgivet: (2016-10-01)

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af: Gavaghan, D, et al.
Udgivet: (2006)

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af: Gavaghan, D, et al.
Udgivet: (2006)

Mathematical models in physiology.
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Influence of initial ocean conditions on temperature and precipitation in a coupled climate model's solution
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