Testing tactics to localize De-identification

Studies in Health Technology and Informatics

Volumn 150, Issue , 2009, Pages 735-739

  Grouin, Cyril ^a   Rosier, Arnaud ^b   Dameron, Olivier ^b   Zweigenbaum, Pierre ^a  

^a Laboratoire Interdisciplinaire des Sciences du Numérique   (France)

^b INSERM   (France)

Author keywords

Clinical reports; De identification; French; Natural language processing

Indexed keywords

CHALLENGE TESTS; CLINICAL REPORTS; DE-IDENTIFICATION; FRENCH;

NATURAL LANGUAGE PROCESSING SYSTEMS;

CARDIOLOGY; CONFERENCE PAPER; FRANCE; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING; STANDARD;

CARDIOLOGY; FRANCE; MEDICAL INFORMATICS; NATURAL LANGUAGE PROCESSING;

EID: 72249092367     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-044-5-735     Document Type: Conference Paper

References (11)

1. Pestian, J.P., Brew, C., Matykiewicz, P. et al. (2007) A shared task involving multi-label classification of clinical free text. In Proceedings of BioNLP 2007: Biological, Translational, and Clinical Language Processing, Association for Computational Linguistics, Prague, Czech Republic, 97-104.
2. Kim, J.D., Ohta, T., Tateisi, Y., Tsujii, J. (2003) Genia corpus-a semantically annotated corpus for bio-textmining. Bioinformatics 19(Suppl 1):180-182.
3. Zweigenbaum, P. (2008) Natural Language Processing in the medical and biomedical domains: A parallel perspective. In Rebholz-Schuhmann, D., Salakoski, T., Pyysalo, S. (Eds.) Proceedings of the 3rd International Symposium for Semantic Mining in Biomedicine (SMBM 2008), Turku Centre for Computer Science (TUCS), Turku, Finland, 3-4.
4. Ruch, P., Baud, R., Rassinoux, A., Bouillon, P., Robert, G. (2000) Medical document anonymization with a semantic lexicon. Proceedings of the AMIA 2000 Symposium, 729-733.
5. Grouin, C. (2002) Chaîne de traitement pour la constitution automatique de corpus : Application sur le domaine médical pour le projet corpus CLEF. DESS d'ingénierie multilingue, Institut National des Langues et Civilisations Orientales.
6. Uzuner, O., Luo, Y., Szolovits, P. (2007) Evaluating the state-of-the-art in automatic de-identification. Journal of the American Medical Informatics Association 14:550-563.
7. Neamatullah, I., Douglass, M.M., Lehman, L.W.H. et al. (2008) Automated de-identification of free-text medical records. BMC Medical Informatics and Decision Making 8:32.
8. Friedlin, J.F., McDonald, C.J. (2008) A software tool for removing patient identifying information from clinical documents. Journal of the American Medical Informatics Association 15(5):601-610.
9. th World Congress on Medical Informatics (Medinfo 2001), IOS Press, Amsterdam, 290-294.
10. Quantin, C., Gouyon, B., Allaert, F.A., Cohen, O. (2005) Proposition d'un identifiant individuel à composante familiale pour l'identification européenne du patient dans le secteur de la santé. In Beuscart, R., Brunetaud, J.M. (Eds.) Proceedings Journées Francophones d'informatique Médicale, Lille, http://www3.univ-lille2.fr/jfim2005/ papiers/41-Quantin-jfim2005.pdf.
11. Velupillai, S., Dalianis, H., Hassel, M., Nilsson, G. (2009) Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial. International Journal of Medical Informatics, doi:10.1016/j.ijmedinf.2009.04. 005.