Uncertainty in model-based treatment decision support: Applied to aortic valve stenosis

Roel Meiburg; Wouter Huberts; Marcel C. M. Rutten; Frans N. van de Vosse

doi:10.1002/cnm.3388

Uncertainty in model-based treatment decision support: Applied to aortic valve stenosis

Roel Meiburg^*, Wouter Huberts, Marcel C. M. Rutten, Frans N. van de Vosse

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Article number	3388
Number of pages	21
Journal	International Journal for Numerical Methods in Biomedical Engineering
Volume	36
Issue number	10
DOIs	https://doi.org/10.1002/cnm.3388
Publication status	Published - Oct 2020

Keywords

aortic stenosis
Monte Carlo Markov chain
parameter estimation
patient specific
prediction uncertainty
unscented Kalman filter
GLOBAL SENSITIVITY-ANALYSIS
PARAMETER-ESTIMATION
DATA ASSIMILATION
IMPLANTATION
PRESSURE
INDEXES
STATE
FLOW

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10.1002/cnm.3388Licence: CC BY

Cite this

@article{0b2181bc26bc4605a1f601405f577336,

title = "Uncertainty in model-based treatment decision support: Applied to aortic valve stenosis",

keywords = "aortic stenosis, Monte Carlo Markov chain, parameter estimation, patient specific, prediction uncertainty, unscented Kalman filter, GLOBAL SENSITIVITY-ANALYSIS, PARAMETER-ESTIMATION, DATA ASSIMILATION, IMPLANTATION, PRESSURE, INDEXES, STATE, FLOW",

author = "Roel Meiburg and Wouter Huberts and Rutten, {Marcel C. M.} and {van de Vosse}, {Frans N.}",

year = "2020",

month = oct,

doi = "10.1002/cnm.3388",

language = "English",

volume = "36",

journal = "International Journal for Numerical Methods in Biomedical Engineering",

issn = "2040-7939",

publisher = "Wiley-Blackwell",

number = "10",

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T1 - Uncertainty in model-based treatment decision support

T2 - Applied to aortic valve stenosis

AU - Meiburg, Roel

AU - Huberts, Wouter

AU - Rutten, Marcel C. M.

AU - van de Vosse, Frans N.

PY - 2020/10

Y1 - 2020/10

KW - aortic stenosis

KW - Monte Carlo Markov chain

KW - parameter estimation

KW - patient specific

KW - prediction uncertainty

KW - unscented Kalman filter

KW - GLOBAL SENSITIVITY-ANALYSIS

KW - PARAMETER-ESTIMATION

KW - DATA ASSIMILATION

KW - IMPLANTATION

KW - PRESSURE

KW - INDEXES

KW - STATE

KW - FLOW

U2 - 10.1002/cnm.3388

DO - 10.1002/cnm.3388

M3 - Article

C2 - 32691507

VL - 36

JO - International Journal for Numerical Methods in Biomedical Engineering

JF - International Journal for Numerical Methods in Biomedical Engineering

SN - 2040-7939

IS - 10

M1 - 3388

ER -