Research Article
A Novel Technique for Identifying Patients with ICU Needs Using Hemodynamic Features
Table 6
Results of algorithm testing on the third group.
| Case Number | Status | Healthy CS | High-risk CS | Patient CS | Category |
| 1 | Patient | 0.1 | 0.7 | 3.2 | Patient | 2 | Patient | 0.3 | 0.8 | 2.9 | Patient | 3 | Healthy | 1.3 | 2.4 | 0.3 | High risk | 4 | Patient | 0.2 | 0.7 | 3.1 | Patient | 5 | Patient | 0.4 | 1.9 | 1.6 | High risk | 6 | Patient | 0.4 | 0.8 | 2.9 | Patient | 7 | Healthy | 2.7 | 0.9 | 0.3 | Healthy | 8 | Patient | 0.1 | 0.4 | 3.5 | Patient | 9 | Patient | 0.3 | 2.2 | 1.6 | High risk | 10 | Patient | 0.4 | 0.6 | 3.1 | Patient | 11 | Healthy | 3.0 | 0.7 | 0.3 | Healthy | 12 | Patient | 0.4 | 0.8 | 2.7 | Patient | 13 | Patient | 0.7 | 1.0 | 2.8 | Patient | 14 | Healthy | 3.2 | 0.6 | 0.2 | Healthy | 15 | Patient | 0.5 | 0.8 | 2.8 | Patient |
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