vmenger/deduce
Deduce: de-identification method for Dutch medical text
This tool helps researchers and healthcare professionals anonymize Dutch medical text by automatically detecting and removing sensitive patient information. You provide it with clinical notes or reports in Dutch, and it gives you a version where personal details like names, dates, locations, and identifiers are replaced with generic tags. It's designed for anyone working with Dutch medical data who needs to protect patient privacy for research, data sharing, or compliance.
Available on PyPI.
Use this if you need to quickly and accurately de-identify protected health information (PHI) from large volumes of clinical text written in Dutch.
Not ideal if your primary goal is to achieve perfect anonymity, as de-identification inherently mitigates risk rather than guarantees complete anonymity.
Stars
64
Forks
27
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 10, 2026
Commits (30d)
0
Dependencies
4
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/vmenger/deduce"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
DataFog/datafog-python
Python SDK for PII detection and redaction in text and images, combining regex + NLP pipelines...
aphp/eds-pseudo
EDS-Pseudo is a hybrid model for detecting personally identifying entities in clinical reports
seanpedrick-case/doc_redaction
Redact PDF/image-based documents, Word, or CSV/XLSX files using a graphical user interface....
martincjespersen/DaAnonymization
Simple customizable pipeline tool for anonymizing Danish text.
thoughtbot/top_secret
Filter sensitive information from free text before sending it to external services or APIs, such...