https://www.selleckchem.com/pr....oducts/sgc-cbp30.htm
Gaussian process regression was employed to build surrogate models of the hemodynamic parameters as well as InDep and Nv (conduit model smoothness indicator) for optimization by pattern search. We tested the proposed method on two patient-specific models (n=2). The results showed the automatically optimized (AutoOpt) Fontan models hemodynamically outperformed or at least are comparable to manually optimized Fontan models with significantly reduced surgical planning time (15 hours versus over 2 weeks). We also demonstrated feasibility
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