Figure 3.

Significant linear correlations between the measured and predicted language scores obtained from 37 children with focal epilepsy. To predict the score of each child as a validation trial, we first applied synthetic minority over-sampling technique (SMOTE) to augment the training data, $\left[{\overline{S}}_i,t_i\right]$ of the remaining 36 children. The trained CNN was then used to predict the score of the validation child, y_i as plotted in the y-axis.