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De-identification of electronic health record using neural network

According to a recent study, around 99% of hospitals across the US now use electronic health record systems (EHRs). One of the most common types of EHR is the unstructured textual data, and unlocking hidden details from this data is critical for improving current medical practices and research endea...

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Detalles Bibliográficos
Autores principales: Ahmed, Tanbir, Aziz, Md Momin Al, Mohammed, Noman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596089/
https://www.ncbi.nlm.nih.gov/pubmed/33122735
http://dx.doi.org/10.1038/s41598-020-75544-1