---
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.