From: A UMLS-based spell checker for natural language processing in vaccine safety
PARAMETERS | TRAINING SET n = 12, 056 | TEST SET n = 8,131 | ||||
---|---|---|---|---|---|---|
 | Value | 95% CI | Value | 95% CI | ||
 |  | Lower | Higher |  | Lower | Higher |
Sensitivity (%) | 93 | 93 | 94 | 74 | 74 | 75 |
Specificity (%) | 100 | 100 | 100 | 100 | 100 | 100 |
Recovery (%) | 85 | 84 | 85 | 68 | 67 | 69 |
Positive Predictive Value | 64 | 63 | 65 | 47 | 46 | 48 |
Regular expression transformations | 1,217 (10%) | Â | Â | 770 (9%) | Â | Â |
Words corrected | 105 (1%) | Â | Â | 68 (1%) | Â | Â |
Processing time per word (second) | 0.07 | Â | Â | 0.06 | Â | Â |