Key result
A proposed methodology for full propagation of uncertainty from clinical data to model results enabled the estimation of confidence intervals on virtual stage II single ventricle palliation predictions.
This study provides a computational methodology to quantify uncertainty in virtual surgery predictions for single ventricle palliation, enabling the estimation of confidence intervals for simulated surgical outcomes.
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May inform uncertainty-aware virtual planning in single ventricle palliation; leaves open clinical validation before adoption.
Schiavazzi et al. (2015) studied Single ventricle palliation. Uncertainty quantification methodology vs. Deterministic simulation was evaluated on Statistical variability and confidence intervals of post-operative hemodynamics predictions. A proposed methodology for full propagation of uncertainty from clinical data to model results enabled the estimation of confidence intervals on virtual stage II single ventricle palliation predictions.
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