NLP-based removal of personally identifiable information from Hungarian electronic health records

NLP-based removal of personally identifiable information from Hungarian electronic health records

IntroductionElectronic health records (EHR) in text format serve as crucial resources for data-driven medical research. To safeguard patient confidentiality, under the General Data Protection Regulation (GDPR), strict measures are required to ensure personal data is anonymized or pseudonymized to pr...

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Bibliographic Details
Main Authors: András Berzi, Ervin Berényi, Zita Képes, Barnabás Antal, Ábrahám Gergely Varga, Miklós Emri
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
de-identification
electronic health records (EHR)
General Data Protection Regulation (GDPR)
Hungarian
low-resource language
named entity recognition (NER)
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2025.1585260/full
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https://www.frontiersin.org/articles/10.3389/frai.2025.1585260/full

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