Skip to main content
Fig. 2 | BMC Medicine

Fig. 2

From: Predicting cognitive scores from wearable-based digital physiological features using machine learning: data from a clinical trial in mild cognitive impairment

Fig. 2

Correlation heatmaps between NTB composites and digital physiological features. Subplots A–C are based on dataset with actual NTB scores, D,E—on the centered dataset. A Color intensity is proportionate to the Pearson correlation coefficient, correlations between all outcome–feature pairs are shown. B Only significant correlations (both Spearman and Pearson adjusted p-values < 0.05 after the FDR correction) are displayed. C Color intensity is proportionate to the R2 of explained variance by fixed effect component from mixed-effect regression, only significant effects are shown (fixed effect p-values < 0.05 after FDR correction). D Color intensity is proportionate to the Pearson correlation coefficient, correlations between all outcome–feature pairs are shown. E Only significant correlations (both Spearman and Pearson adjusted p-values < 0.05 after FDR correction) are included

Back to article page