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...

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Bibliographic Details
Main Authors: Jitendra Jonnagaddala, Aipeng Chen, Sean Batongbacal, Chandini Nekkantti
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doaj.org/article/bf43a13da7444d1aa4e7e7642ca37eee
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