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The study illustrates that for the considered two and six dimensional UP problems, PCEs offer a more accurate estimation of the statistics describing the uncertainty in model outputs compared to Monte Carlo simulations based on the original numerical model.
Table 6 Optimal MV settings and model outputs compared with first patient dataset Data Optimal MV setting parameters Vt [ml] 590 506 VentRate [bpm] 13 15 I E 0.33 0.32 PEEP [cmH2O] 0 1 FiO2 0.4 0.3 Model outputs PaO2 [kPa] 17 12.2 PaCO2 [kPa] 6.1 6.3 Palv [kPa] 5.1 3.8 Figure 4 Pareto front from the multi-objective optimization.
Results showed that model outputs compared well with UK data.
We perform extensive sensitivity analysis as well as external validation of model outputs compared to data from cohorts not used to estimate current model inputs.
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The model output compares well with the observed phenotype, as illustrated in Figure 4D.
The model outputs are compared with actual measured data for different unit loads.
Model outputs are compared with experimental results and satisfactory agreement is observed for both steady-state and transient cases under high loads of up to 150 Nm.
IBMs may be calibrated and validated using the pattern-oriented approach, in which model outputs are compared to field data patterns, generally at the end of each simulation.
The model outputs were compared to those from three alternatives, revealing that it could achieve a high level of system reliability at a minor price of economic return.
The model outputs were compared with GMDA land demand as proposed for 2025 whereby the land demand as produced by MC was found to best match the projected demand.
To validate the model, outputs were compared with published sources.
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