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. Author manuscript; available in PMC: 2020 Feb 20.
Published in final edited form as: Sci Transl Med. 2019 Feb 20;11(480):eaan0457. doi: 10.1126/scitranslmed.aan0457

Fig. 7. Machine learning algorithm using a support vector for ictal prediction in PDHD mice.

Fig. 7.

(A) Outline of a machine learning algorithm with 10-fold cross-validation for ictal prediction. (B) Left: Two-dimensional (2D) example scatter plot of normalized (norm.) gamma and beta power for mouse preictal events contrasted with power of interictal EEG segments over 2 hours. Right: 3D scatter plot of the same data. (C) Receiver operating characteristic curve of analysis on data from (B). (D) Classifier performance measures for group data (n = 5 PDHD mice).