Sensitivity analysis and uncertainty quantification of 1-D models of pulmonary hemodynamics in mice under control and hypertensive conditions

Pulmonary hypertension (PH), defined as an elevated mean blood pressure in the main pulmonary artery (MPA) at rest, is associated with vascular remodeling of both large and small arteries. PH has several sub-types that are all linked to high mortality rates. In this study, we use a one-dimensional (...

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Bibliographic Details
Main Authors:	Colebank, M.J (Author), Olufsen, M.S (Author), Umar Qureshi, M. (Author)
Format:	Article
Language:	English
Published:	John Wiley and Sons Inc 2021
Subjects:	animal Animals Bayes theorem Bayes Theorem Bayesian networks Blood pressure Clinical observation Complex networks computational fluid dynamics Computational fluid dynamics Computerized tomography Fluid dynamics model Forecasting Global sensitivity analysis hemodynamics Hemodynamics Inference engines Mammals Mice Micro computed tomography (micro-CT) micro-computed tomography mouse network models Network models One dimensional Parameter influences pulmonary artery Pulmonary Artery pulmonary hypertension Pulmonary hypertension sensitivity analysis Sensitivity analysis uncertainty Uncertainty Uncertainty analysis uncertainty quantification Uncertainty quantifications X-Ray Microtomography
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Sensitivity analysis and uncertainty quantification of 1-D models of pulmonary hemodynamics in mice under control and hypertensive conditions

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