The OpenDeID corpus for patient de-identification

Abstract For research purposes, protected health information is often redacted from unstructured electronic health records to preserve patient privacy and confidentiality. The OpenDeID corpus is designed to assist development of automatic methods to redact sensitive information from unstructured ele...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Jitendra Jonnagaddala, Aipeng Chen, Sean Batongbacal, Chandini Nekkantti
Format: article
Langue:EN
Publié: Nature Portfolio 2021
Sujets:
R
Q
Accès en ligne:https://doaj.org/article/bf43a13da7444d1aa4e7e7642ca37eee
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!