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. 2021 Aug 19;12:708435. doi: 10.3389/fphys.2021.708435

Figure 8.

Figure 8

Female multi-fidelity drug-induced arrhythmogenic risk classifier. (Upper) Initial exploration of the female drug-induced arrhythmogenic risk parameter space. The first 10 internal Latin hypercube samples of the B={βKr,βCaL} parameter space were evaluated for female drug-induced arrhythmogenesis, as showcased in the upper middle plot with “dot” markers. Here, the low-fidelity samples from training the low-fidelity female midwall Gaussian process classifier are shown with “x” markers. Virtual electrocardiograms of two arrhythmic and two non-arrhythmic {βKr, βCaL} samples are shown in the upper left column plots. The resulting drug-induced arrhythmogenicity probabilities for the female heart is shown in the upper right plot. (Lower) Active learning exploration and exploitation of the female drug-induced arrhythmogenic risk classification boundary. The multi-fidelity Gaussian process classifier was trained further using 15 additional active learning high-evaluations of {βKr, βCaL} effects. On the lower left, four additional arrhythmic sample evaluations are shown. The lower middle plot showcases four additional non-arrhythmic sample evaluations. The final female multi-fidelity drug-induced arrhythmogenic risk classification boundary is shown in the lower right plot.