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Bayesian parameter inference and uncertainty-informed sensitivity analysis in a 0D cardiovascular model for intraoperative hypotension
Jan-Niklas Thiel, Jan-Niklas Thiel, Marko Žličar, Ulrich Steinseifer, Borut Kirn, Michael Neidlin
Izvirni znanstveni članek
Oznake: Bayesian parameter inference;cardiovascular modeling;global sensitivity analysis;lumped parameter modeling;reduced-order modeling;uncertainty quantification;
Computational cardiovascular models are promising tools for clinical decision support, particularly in complex conditions, such as intraoperative hypotension (IOH). IOH arises from different mechanisms, making treatment selection non-trivial. Patient-specific predictions require calibration, typical ...
Leto: 2026 Vir: Medicinska fakulteta (UL MF)
Št. zadetkov: 1
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