Bayesian sensitivity analysis of a 1D vascular model with Gaussian process emulators

One‐dimensional models of the cardiovascular system can capture the physics of pulse waves but involve many parameters. Since these may vary among individuals, patient‐specific models are difficult to construct. Sensitivity analysis can be used to rank model parameters by their effect on outputs and...

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Veröffentlicht in:	International journal for numerical methods in biomedical engineering 2017-12, Vol.33 (12), p.n/a
Hauptverfasser:	Melis, Alessandro, Clayton, Richard H., Marzo, Alberto
Format:	Artikel
Sprache:	eng
Schlagworte:	1D vascular model Animals Bayes Theorem Bayesian analysis Cardiovascular System Computer applications Computer simulation Computing time emulator Emulators Gaussian process Humans Mathematical models Monte Carlo Method Monte Carlo simulation One dimensional models Parameter estimation Parameter sensitivity Parameter uncertainty Physics Sensitivity analysis Sobol Variance analysis Vascular system
Online-Zugang:	Volltext
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