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• W2765156222 abstract "Mathematical models are essential tools to study how the cardiovascular system maintains homeostasis. The utility of such models is limited by the accuracy of their predictions, which can be determined by uncertainty quantification (UQ). A challenge associated with the use of UQ is that many published methods assume that the underlying model is identifiable (e.g. that a one-to-one mapping exists from the parameter space to the model output). In this study we present a novel workflow to calibrate a lumped-parameter model to left ventricular pressure and volume time series data. Key steps include using (1) literature and available data to determine nominal parameter values; (2) sensitivity analysis and subset selection to determine a set of identifiable parameters; (3) optimization to find a point estimate for identifiable parameters; and (4) frequentist and Bayesian UQ calculations to assess the predictive capability of the model. Our results show that it is possible to determine 5 identifiable model parameters that can be estimated to our experimental data from three rats, and that computed UQ intervals capture the measurement and model error." @default.
• W2765156222 created "2017-11-10" @default.
• W2765156222 creator A5020541296 @default.
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• W2765156222 date "2018-10-01" @default.
• W2765156222 modified "2023-09-29" @default.
• W2765156222 title "Practical identifiability and uncertainty quantification of a pulsatile cardiovascular model" @default.
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• W2765156222 cites W1820412285 @default.
• W2765156222 cites W1912675862 @default.
• W2765156222 cites W1929398776 @default.
• W2765156222 cites W1968217945 @default.
• W2765156222 cites W1969551552 @default.
• W2765156222 cites W1971170689 @default.
• W2765156222 cites W1971362449 @default.
• W2765156222 cites W1974688272 @default.
• W2765156222 cites W1975116036 @default.
• W2765156222 cites W1977318420 @default.
• W2765156222 cites W1979602315 @default.
• W2765156222 cites W1979613698 @default.
• W2765156222 cites W1980752763 @default.
• W2765156222 cites W1984039109 @default.
• W2765156222 cites W1986034488 @default.
• W2765156222 cites W1989459685 @default.
• W2765156222 cites W1995780830 @default.
• W2765156222 cites W1996630203 @default.
• W2765156222 cites W1997975487 @default.
• W2765156222 cites W2011028639 @default.
• W2765156222 cites W2012997924 @default.
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• W2765156222 cites W2035192492 @default.
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• W2765156222 cites W2075085786 @default.
• W2765156222 cites W2076101784 @default.
• W2765156222 cites W2078238995 @default.
• W2765156222 cites W2085195240 @default.
• W2765156222 cites W2087816835 @default.
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• W2765156222 cites W2102724099 @default.
• W2765156222 cites W2102862543 @default.
• W2765156222 cites W2113105229 @default.
• W2765156222 cites W2115417278 @default.
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• W2765156222 cites W2148659928 @default.
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• W2765156222 cites W2169405595 @default.
• W2765156222 cites W2169887660 @default.
• W2765156222 cites W2171644438 @default.
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• W2765156222 doi "https://doi.org/10.1016/j.mbs.2018.07.001" @default.
• W2765156222 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30017910" @default.
• W2765156222 hasPublicationYear "2018" @default.
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