One-dimensional modeling of fractional flow reserve in coronary artery disease: uncertainty quantification and Bayesian optimization

DOI10.1016/J.CMA.2019.05.005zbMath1441.76150OpenAlexW2946770385WikidataQ127878877 ScholiaQ127878877MaRDI QIDQ1988087

Alireza Yazdani, Minglang Yin, George Em. Karniadakis

Publication date: 16 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2019.05.005

zbMATH Keywords

computational fluid dynamicsGaussian process regressionBayesian optimization1D/3D modelingANOVA sensitivity analysismultifidelity modeling

Mathematics Subject Classification ID

General biostatistics (92B15) Finite element methods applied to problems in fluid mechanics (76M10) Physiological flows (76Z05)

Related Items (3)

Modeling Biomechanics in the Healthy and Diseased Heart ⋮ Multiscale parareal algorithm for long-time mesoscopic simulations of microvascular blood flow in zebrafish ⋮ Editorial: Special issue on uncertainty quantification, machine learning, and data-driven modeling of biological systems

Uses Software

• EGO
• Spearmint

Cites Work

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• Advanced Lectures on Machine Learning
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