README.md

EDS-Pseudonymisation

This project aims at detecting identifying entities at AP-HP's Clinical Data Warehouse:

Label	Description
ADRESSE	Street address, eg 33 boulevard de Picpus
DATE	Any absolute date other than a birthdate
DATE_NAISSANCE	Birthdate
HOPITAL	Hospital name, eg Hôpital Rothschild
IPP	Internal AP-HP identifier for patients, displayed as a number
MAIL	Email address
NDA	Internal AP-HP identifier for visits, displayed as a number
NOM	Any last name (patients, doctors, third parties)
PRENOM	Any first name (patients, doctors, etc)
SECU	Social security number
TEL	Any phone number
VILLE	Any city
ZIP	Any zip code

Publication

Please find our arXiv preprint at the following link: https://arxiv.org/pdf/2303.13451.pdf.

If you use EDS-Pseudo, please cite us as below:

@article{tannier2023development,
  title={Development and validation of a natural language processing algorithm to pseudonymize documents in the context of a clinical data warehouse},
  author={Tannier, Xavier and Wajsb{\"u}rt, Perceval and Calliger, Alice and Dura, Basile and Mouchet, Alexandre and Hilka, Martin and Bey, Romain},
  journal={arXiv preprint arXiv:2303.13451},
  year={2023}
}

Documentation

Visit the documentation for more information!

Acknowledgement

We would like to thank Assistance Publique – Hôpitaux de Paris and AP-HP Foundation for funding this project.