[HTML][HTML] Comprehensive uncertainty quantification and sensitivity analysis for cardiac action potential models
Recent efforts to ensure the reliability of computational model-based predictions in
healthcare, such as the ASME V&V40 Standard, emphasize the importance of uncertainty …
healthcare, such as the ASME V&V40 Standard, emphasize the importance of uncertainty …
[HTML][HTML] Data-driven uncertainty quantification for cardiac electrophysiological models: impact of physiological variability on action potential and spiral wave dynamics
P Pathmanathan, SK Galappaththige… - Frontiers in …, 2020 - frontiersin.org
Computational modeling of cardiac electrophysiology (EP) has recently transitioned from a
scientific research tool to clinical applications. To ensure reliability of clinical or regulatory …
scientific research tool to clinical applications. To ensure reliability of clinical or regulatory …
[HTML][HTML] Uncertainty quantification in the in vivo image-based estimation of local elastic properties of vascular walls
BM Fanni, MN Antonuccio, A Pizzuto, S Berti… - Journal of …, 2023 - mdpi.com
Introduction: Patient-specific computational models are a powerful tool for planning
cardiovascular interventions. However, the in vivo patient-specific mechanical properties of …
cardiovascular interventions. However, the in vivo patient-specific mechanical properties of …
[HTML][HTML] Quantifying the impact of shape uncertainty on predicted arrhythmias
Background. Personalised computer models are increasingly used to diagnose cardiac
arrhythmias and tailor treatment. Patient-specific models of the left atrium are often derived …
arrhythmias and tailor treatment. Patient-specific models of the left atrium are often derived …
Modelling and control of a failing heart managed by a left ventricular assist device
J Son, D Du, Y Du - Biocybernetics and biomedical engineering, 2020 - Elsevier
Left ventricular assist device (LVAD) recently has been used in advanced heart failure (HF),
which supports a failing heart to meet blood circulation demand of the body. However, the …
which supports a failing heart to meet blood circulation demand of the body. However, the …
Impact of the COVID-19 pandemic on the relationship between uncertainty factors, investor's behavioral biases and the stock market reaction of US Fintech companies
O Gharbi, Y Trichili, MB Abbes - Journal of Academic Finance, 2022 - scientific-society.com
Objectif: Le but de l'étude est d'identifier l'impact de la pandémie COVID-19 sur la relation
entre les facteurs d'incertitudes (volatilité des marchés boursiers-maladies infectieuses …
entre les facteurs d'incertitudes (volatilité des marchés boursiers-maladies infectieuses …
Spatiotemporal modeling and optimization for personalized cardiac simulation
B Yao - IISE Transactions on Healthcare Systems Engineering, 2021 - Taylor & Francis
Computational modeling of the heart has contributed tremendously in quantitatively
understanding the cardiac functions, showing great potential to assist medical doctors in …
understanding the cardiac functions, showing great potential to assist medical doctors in …
Probabilistic surrogate models for uncertainty analysis: Dimension reduction‐based polynomial chaos expansion
J Son, Y Du - International Journal for Numerical Methods in …, 2020 - Wiley Online Library
This paper presents an approach for efficient uncertainty analysis (UA) using an intrusive
generalized polynomial chaos (gPC) expansion. The key step of the gPC‐based uncertainty …
generalized polynomial chaos (gPC) expansion. The key step of the gPC‐based uncertainty …
Uncertainty quantification for the random HIV dynamical model driven by drug adherence
D Yan, M He, S Tang - Journal of Theoretical Biology, 2024 - Elsevier
In HIV drug therapy, the high variability of CD 4+ T cells and viral loads brings uncertainty to
the determination of treatment options and the ultimate treatment efficacy, which may be the …
the determination of treatment options and the ultimate treatment efficacy, which may be the …
[HTML][HTML] Uncertainty assessment of proarrhythmia predictions derived from multi-level in silico models
K Kopańska, P Rodríguez-Belenguer… - Archives of …, 2023 - Springer
In silico methods can be used for an early assessment of arrhythmogenic properties of drug
candidates. However, their use for decision-making is conditioned by the possibility to …
candidates. However, their use for decision-making is conditioned by the possibility to …