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Fig. 2 | BMC Medicine

Fig. 2

From: Understanding personalized dynamics to inform precision medicine: a dynamic time warp analysis of 255 depressed inpatients

Fig. 2

DTW analysis of HRSD-17 symptoms for patient no. 196 and patient no. 201 (a). Heatmap (symptoms that show high correlation are given a “hot” red color, and those that are not correlated are given a “cold” blue color) (b). Dendrogram based on the clustering of DTW distances of 15 of the non-zero HRSD-17 item scores over time (c). Network graph based on the distance matrix: connections between symptoms (edges) indicate distances between symptom trajectories (d). Centrality statistics of the network graph: centrality is based on the number and strengths of connections each symptom has. Closeness also takes the global network structure into account (e)

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