Bayesian inference for fitting cardiac models to experiments: estimating parameter distributions using Hamiltonian Monte Carlo and approximate Bayesian computation.
Customization of cardiac action potential models has become increasingly important with the recognition of patient-specific models and virtual patient cohorts as valuable predictive tools. Nevertheless, developing customized models by fitting parameters to data poses technical and methodological cha...
| Published in: | Medical & Biological Engineering & Computing Vol. 61; no. 1; pp. 75 - 96 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Published: |
Springer Nature
Jan2023
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| Online Access: | View this record in EBSCOhost |