Table 2.
Domain-specific prediction performance for the support vector machine algorithm.
| Caucasian cohort | Han Chinese cohort | |||||||
|---|---|---|---|---|---|---|---|---|
| Only with cluster | Excluding cluster | Only with cluster | Excluding cluster | |||||
| AUC | 95% CI | AUC | 95% CI | AUC | 95% CI | AUC | 95% CI | |
| All | 0.87 | 0.83–0.91 | – | – | 0.74 | 0.64–0.83 | – | |
| Demographic (age) | 0.62 | 0.54–0.69 | 0.85 | 0.80–0.90 | 0.49 | 0.36–0.60 | 0.73 | 0.64–0.83 |
| Clinical characteristics (NIHSS score, SBP, DBP) | 0.77 | 0.71–0.83 | 0.76 | 0.69–0.83 | 0.65 | 0.52–0.78 | 0.63 | 0.53–0.74 |
| Baseline blood biomarkers (ALP, ALT, glucose, and creatine level) | 0.74 | 0.67–0.82 | 0.81 | 0.76–0.86 | 0.63 | 0.53–0.73 | 0.68 | 0.58–0.79 |
ALP, alkaline phosphatase; ALT, alanine aminotransferase; AUC, area under the curve; CI, confidence interval; DBP, diastolic blood pressure; SBP, systolic blood pressure.