Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals
Fig 8
The overview of R-R values and predictions of XGBoost, Ensemble of SVMs, and GRU + FCN classifiers for consecutive time windows for the three selected individuals.
Green areas correspond to the correctly classified periods, while red areas refer to the opposite case. (a) depicts the individual from the treatment group being relatively straightforward for all three classifiers. (b) corresponds to the selected control group individual for whom most of the time windows are classified incorrectly by all three compared methods. Finally, (c) represents the treatment group individual classified mostly accurately by XGBoost and Ensemble of SVMs but misclassified by GRU + FCN.