Figure 4 | Scientific Reports

Figure 4

From: Multivariate linear mixture models for the prediction of febrile seizure risk and recurrence: a prospective case–control study

Figure 4

Increased specificity of the case group separation and receiver operating characteristics while combining model1 and model2. (a) Visualization of the mutual model1 (x-axis)—model2 (y-axis) projection for all investigated groups. Right panel shows the zoomed-in area (delimited by dashed grey line) of the upper-right quadrant. The bi-linear classifier represents the thresholds of each separate model1 and model2 derived from data distributions shown in Fig. 3a,b. Thresholds are visualized as black solid lines. (b) Receiver operating characteristics and Euclidean distance (E) between an ideal “gold standard” classifier and the optimal classifier fit for the corresponding model/variable. Fe serum iron concentration, satFe iron saturation, Height height percentile, Age age at the first febrile seizure attack, UIBC unsaturated iron-binding capacity, HGB hemoglobin, thr threshold, SE sensitivity, SP specificity, ROC receiver operating characteristics.

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