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