Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical Records ...

Unstructured information in electronic health records provide an invaluable resource for medical research. To protect the confidentiality of patients and to conform to privacy regulations, de-identification methods automatically remove personally identifying information from these medical records. However, due to the unavailability of labeled data, most existing research is constrained to English medical text and little is known about the generalizability of de-identification methods across languages and domains. In this study, we construct a varied dataset consisting of the medical records of... Mehr ...

Verfasser: Trienes, Jan
Trieschnigg, Dolf
Seifert, Christin
Hiemstra, Djoerd
Dokumenttyp: Artikel
Erscheinungsdatum: 2020
Verlag/Hrsg.: arXiv
Schlagwörter: Computation and Language cs.CL / FOS: Computer and information sciences
Sprache: unknown
Permalink: https://search.fid-benelux.de/Record/base-28980379
Datenquelle: BASE; Originalkatalog
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Link(s) : https://dx.doi.org/10.48550/arxiv.2001.05714