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Considering discrepancy when calibrating a mechanistic electrophysiology model
2020
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ methods to characterize uncertainty in model inputs and how that propagates through to outputs or predictions; examples of this can be seen in the papers of this issue. In this review and perspective piece, we draw attention to an important and under-addressed source of uncertainty in our predictions-that of uncertainty
doi:10.1098/rsta.2019.0349
pmid:32448065
pmcid:PMC7287333
fatcat:nczx3d3zbjanllgkmvm6o2afw4