Deep learning approach for automatic assessment of schizophrenia and bipolar disorder in patients using R-R intervals
Fig 7
The influence of features on model predictions, presented as a SHAP heatmap.
Rows and columns correspond to features and instances, respectively. Instances are sorted according to the model’s output score. Color intensity represents the SHAP value, with red indicating a positive impact and green a negative impact on the model output (probability of belonging to the positive class) relative to the baseline. Features are ranked by their importance and are also presented as sidebars. Data is from a 300-element windows’ experiment, on a dataset sampled every 500th instance.