A Rule-Based System for Automatic De-identification of Medical Narrative Texts
Апстракт
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.
Кључне речи:
named entity recognition / finite-state transducers / rule-based system / de-identification / medical narrative texts / SerbianИзвор:
Informatica - Journal of Computing & Informatics, 2015, 39, 1, 43-51Издавач:
- Slovensko Drustvo Informatika, Ljubljana
Колекције
Институција/група
Stomatološki fakultetTY - JOUR AU - Jaćimović, Jelena AU - Krstev, Cvetana AU - Jelovac, Drago PY - 2015 UR - https://smile.stomf.bg.ac.rs/handle/123456789/1992 AB - 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. PB - Slovensko Drustvo Informatika, Ljubljana T2 - Informatica - Journal of Computing & Informatics T1 - A Rule-Based System for Automatic De-identification of Medical Narrative Texts VL - 39 IS - 1 SP - 43 EP - 51 UR - https://hdl.handle.net/21.15107/rcub_smile_1992 ER -
@article{ author = "Jaćimović, Jelena and Krstev, Cvetana and Jelovac, Drago", year = "2015", 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.", publisher = "Slovensko Drustvo Informatika, Ljubljana", journal = "Informatica - Journal of Computing & Informatics", title = "A Rule-Based System for Automatic De-identification of Medical Narrative Texts", volume = "39", number = "1", pages = "43-51", url = "https://hdl.handle.net/21.15107/rcub_smile_1992" }
Jaćimović, J., Krstev, C.,& Jelovac, D.. (2015). A Rule-Based System for Automatic De-identification of Medical Narrative Texts. in Informatica - Journal of Computing & Informatics Slovensko Drustvo Informatika, Ljubljana., 39(1), 43-51. https://hdl.handle.net/21.15107/rcub_smile_1992
Jaćimović J, Krstev C, Jelovac D. A Rule-Based System for Automatic De-identification of Medical Narrative Texts. in Informatica - Journal of Computing & Informatics. 2015;39(1):43-51. https://hdl.handle.net/21.15107/rcub_smile_1992 .
Jaćimović, Jelena, Krstev, Cvetana, Jelovac, Drago, "A Rule-Based System for Automatic De-identification of Medical Narrative Texts" in Informatica - Journal of Computing & Informatics, 39, no. 1 (2015):43-51, https://hdl.handle.net/21.15107/rcub_smile_1992 .