Figure 8.

The convolution neural network with long-short-term memory network (CNN LSTM) model performance. The model with the highest validation score was deployed in the out-of-sample retrospective testing in human (dotted lines NH3–9), and prospective testing in human (solid lines MH1–4) and canine (dashed lines MD2 and MD3) subjects. (A) Precision-recall curves (PRCs) and (B) receiver operating curves (ROC). The detailed view of the ROC (blow-up view in bottom right panel) shows the results for each subject with optimal detector parameters that minimize the false-positive rate and maximize sensitivity. The PRC and ROC curves are calculated by sequentially changing the model probability threshold and evaluating the results of precision, recall and false-positive rate for all seizures for each subject in the testing data sets.