Figure 6.

Example of leave-one-out model prediction (m = o) at h₀ compared to a m = a approach for a given patient. The quadratic models (f = q) are depicted in panel (a) while the cubic ones (f = c) are in panel (b). In each panel: The blue diamonds represent measured $\mathsf{\Delta }\left[K^{+}\right]$ values at each hour $\{h_0,h_1,h_2,h_3,h_4,h_5\}$; the black triangles are the estimated ${\widehat{\mathsf{\Delta }}}_{{\widehat{d}}_{w,c},a}^f\left[K^{+}\right]$ while the red dots are ${\widehat{\mathsf{\Delta }}}_{{\widehat{d}}_{w,c},o}^f\left[K^{+}\right]$ corresponding to the ${\widehat{d}}_{w,c}$ used in the training set $\{h_1,h_2,h_3,h_4,h_5\}$, and the green square is the predicted ${\widehat{\mathsf{\Delta }}}_{{\widehat{d}}_{w,c},o}^f\left[K^{+}\right]$ corresponding to the ${\widehat{d}}_{w,c}$ at h₀, the hour excluded from the training set. The blackdashed line is the model in m = a while the red-dashed line accounts for the model in m = o.