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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Autores principales: Jitendra Jonnagaddala, Aipeng Chen, Sean Batongbacal, Chandini Nekkantti
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/bf43a13da7444d1aa4e7e7642ca37eee
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