metadata
language: en
library_name: transformers
pipeline_tag: token-classification
base_model: StanfordAIMI/stanford-deidentifier-base
tags:
- clinical
- phi
- ner
Synthetic PHI Detector
This token-classification model was fine-tuned from StanfordAIMI/stanford-deidentifier-base using
Synthetic Synthea-derived clinical templates. It recognizes three entity types
with the BIO labels stored in config.json.
Training examples: 5997
| Entity | Strict seqeval F1 |
|---|---|
| MEDICAL_RECORD | 1.0000 |
| DIAGNOSIS | 1.0000 |
| MEDICATION | 1.0000 |
Overall strict seqeval F1: 1.0000
Limitations
Synthetic templates do not represent every institution, document style, or identifier format. False negatives and false positives are expected. This model assists PHI detection and is not a compliance guarantee or substitute for human review and layered detection controls.