Automatic de-identification of protected health information
Само за регистроване кориснике
2014
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
This paper presents an automatic de-identification system for Serbian, grounded on a rapid adaptation of the existing named entity recognition system. Based on a finite-state methodology and lexical resources, the system is designed to detect and replace all 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.
Извор:
Proceedings of the 17th International Multiconference INFORMATION SOCIETY – IS 2014, Language Technologies, October 9th−10th, 2014, Ljubljana, Slovenia, 2014, G, 73-78Издавач:
- Jožef Stefan Institute, Ljubljana, Slovenia
Колекције
Институција/група
Stomatološki fakultetTY - CONF AU - Jaćimović, Jelena AU - Krstev, Cvetana AU - Jelovac, Drago PY - 2014 UR - https://smile.stomf.bg.ac.rs/handle/123456789/2533 AB - This paper presents an automatic de-identification system for Serbian, grounded on a rapid adaptation of the existing named entity recognition system. Based on a finite-state methodology and lexical resources, the system is designed to detect and replace all 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 - Jožef Stefan Institute, Ljubljana, Slovenia C3 - Proceedings of the 17th International Multiconference INFORMATION SOCIETY – IS 2014, Language Technologies, October 9th−10th, 2014, Ljubljana, Slovenia T1 - Automatic de-identification of protected health information VL - G SP - 73 EP - 78 UR - https://hdl.handle.net/21.15107/rcub_smile_2533 ER -
@conference{ author = "Jaćimović, Jelena and Krstev, Cvetana and Jelovac, Drago", year = "2014", abstract = "This paper presents an automatic de-identification system for Serbian, grounded on a rapid adaptation of the existing named entity recognition system. Based on a finite-state methodology and lexical resources, the system is designed to detect and replace all 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 = "Jožef Stefan Institute, Ljubljana, Slovenia", journal = "Proceedings of the 17th International Multiconference INFORMATION SOCIETY – IS 2014, Language Technologies, October 9th−10th, 2014, Ljubljana, Slovenia", title = "Automatic de-identification of protected health information", volume = "G", pages = "73-78", url = "https://hdl.handle.net/21.15107/rcub_smile_2533" }
Jaćimović, J., Krstev, C.,& Jelovac, D.. (2014). Automatic de-identification of protected health information. in Proceedings of the 17th International Multiconference INFORMATION SOCIETY – IS 2014, Language Technologies, October 9th−10th, 2014, Ljubljana, Slovenia Jožef Stefan Institute, Ljubljana, Slovenia., G, 73-78. https://hdl.handle.net/21.15107/rcub_smile_2533
Jaćimović J, Krstev C, Jelovac D. Automatic de-identification of protected health information. in Proceedings of the 17th International Multiconference INFORMATION SOCIETY – IS 2014, Language Technologies, October 9th−10th, 2014, Ljubljana, Slovenia. 2014;G:73-78. https://hdl.handle.net/21.15107/rcub_smile_2533 .
Jaćimović, Jelena, Krstev, Cvetana, Jelovac, Drago, "Automatic de-identification of protected health information" in Proceedings of the 17th International Multiconference INFORMATION SOCIETY – IS 2014, Language Technologies, October 9th−10th, 2014, Ljubljana, Slovenia, G (2014):73-78, https://hdl.handle.net/21.15107/rcub_smile_2533 .