Table 4.
Correct Cluster | Assigned Cluster | Total (%) | ||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
1 | 45 (91.8%) | 3 (6.1%) | 1 (2.0%) | 0 (0%) | 0 (0%) | (100%) |
2 | 1 (1%) | 98 (96.1%) | 3 (2.9%) | 0 (0%) | 0 (0%) | (100%) |
3 | 5 (3.8%) | 4 (3.0%) | 116 (87.9%) | 3 (2.3%) | 4 (3.0%) | (100%) |
4 | 0 (0%) | 13 (18.3%) | 1 (1.4%) | 57 (80.3%) | 0 (0%) | (100%) |
5 | 0 (0%) | 2 (6.3%) | 1 (3.1%) | 0 (0%) | 29 (90.6%) | (100%) |
Assignment to clusters based on the clinical algorithm shown in Figure 2 was compared to the correct cluster as generated through full data analysis. For example, the clinical algorithm appropriately classified 91.8% of patients in Cluster 1 to Cluster 1, whereas 6.1% were incorrectly assigned to Cluster 2, 2.0% to Cluster 3, and none to Cluster 4 or 5.