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A Rule-Based System for Automatic De-identification of Medical Narrative Texts
dc.creator | Jaćimović, Jelena | |
dc.creator | Krstev, Cvetana | |
dc.creator | Jelovac, Drago | |
dc.date.accessioned | 2020-07-02T12:57:08Z | |
dc.date.available | 2020-07-02T12:57:08Z | |
dc.date.issued | 2015 | |
dc.identifier.issn | 0350-5596 | |
dc.identifier.uri | https://smile.stomf.bg.ac.rs/handle/123456789/1992 | |
dc.description.abstract | This paper presents an automatic de-identification system for Serbian, based on the adaptation of the existing rule-based named entity recognition system. Built on a finite-state methodology and lexical resources, the system is designed to detect and replace all the explicit personal protected health information present in the medical narrative texts, while still preserving all the relevant medical concepts. The results of a preliminary evaluation demonstrate the usefulness of this method both in preserving patient privacy and the de-identified document interoperability. | en |
dc.publisher | Slovensko Drustvo Informatika, Ljubljana | |
dc.rights | restrictedAccess | |
dc.source | Informatica - Journal of Computing & Informatics | |
dc.subject | named entity recognition | en |
dc.subject | finite-state transducers | en |
dc.subject | rule-based system | en |
dc.subject | de-identification | en |
dc.subject | medical narrative texts | en |
dc.subject | Serbian | en |
dc.title | A Rule-Based System for Automatic De-identification of Medical Narrative Texts | en |
dc.type | article | |
dc.rights.license | ARR | |
dcterms.abstract | Јеловац, Драго; Јаћимовић, Јелена; Крстев, Цветана; | |
dc.citation.volume | 39 | |
dc.citation.issue | 1 | |
dc.citation.spage | 43 | |
dc.citation.epage | 51 | |
dc.citation.other | 39(1): 43-51 | |
dc.identifier.wos | 000362399600005 | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_smile_1992 | |
dc.type.version | publishedVersion |
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