Table 4 Performance on gold standard corpus.
From: Automated de-identification of free-text medical records
PHI Type | PHI sub-type | Count | # FNs | # FNs per 100,000 words | Per Category Recall | Per Category Precision |
|---|---|---|---|---|---|---|
Name | Patient Name | 54 | 0 | 0 | 1.00 | Â |
| Â | Patient Name Initial | 2 | 2 | 0.598 | 0.00 | Â |
| Â | Relative/Proxy Name | 175 | 4 | 1.195 | 0.977 | Â |
| Â | Clinician Name | 593 | 3 | 1.494 | 0.995 | 0.725 |
Date | Date (not year) | 482 | 26 | 7.769 | 0.946 | Â |
| Â | Year | 46 | 11 | 3.287 | 0.761 | 0.713 |
Location | Â | 367 | 10 | 4.482 | 0.973 | 0.922 |
Phone | Â | 53 | 0 | 0 | 1.00 | 0.898 |
Age over 89 | Â | 4 | 1 | 0.299 | 0.750 | 0.600 |
Undefined | Â | 3 | 2 | 0.598 | 0.333 | N/A |
Overall | Â | 1779 | 59 | 19.720 | 0.967 | 0.749 |