Pseudonymisation of Personal Names and other PHIs in an Annotated Clinical Swedish Corpus

Today a large number of patient records are produced and these records contain valuable information, often in free text, about the medical treatment of patients. Since these records contain informa ...

[1]  Kostas Pantazos,et al.  De-identifying an EHR Database - Anonymity, Correctness and Readability of the Medical Record , 2011, MIE.

[2]  Wlodzislaw Duch,et al.  Preparing Clinical Text for Use in Biomedical Research , 2006, J. Database Manag..

[3]  Sumithra Velupillai,et al.  De-identifying Swedish clinical text - refinement of a gold standard and experiments with Conditional random fields , 2010, J. Biomed. Semant..

[4]  K. Bretonnel Cohen,et al.  Biological, translational, and clinical language processing , 2007 .

[5]  Sumithra Velupillai,et al.  Developing a standard for de-identifying electronic patient records written in Swedish: Precision, recall and F-measure in a manual and computerized annotation trial , 2009, Int. J. Medical Informatics.

[6]  Margaret Douglass,et al.  Computer-Assisted De-Identification of Free-text Nursing Notes , 2005 .

[7]  Isaac S. Kohane,et al.  Architecture of the Open-source Clinical Research Chart from Informatics for Integrating Biology and the Bedside , 2007, AMIA.

[8]  Peter Szolovits,et al.  Automated de-identification of free-text medical records , 2008, BMC Medical Informatics Decis. Mak..

[9]  M. Douglass,et al.  Computer-assisted de-identification of free text in the MIMIC II database , 2004, Computers in Cardiology, 2004.

[10]  Henrik Boström,et al.  Releasing a Swedish Clinical Corpus after Removing all Words – De-identification Experiments with Conditional Random Fields and Random Forests , 2012 .

[11]  L. Sweeney.  Replacing personally-identifying information in medical records, the Scrub system. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[12]  H. Dalianis,et al.  The Stockholm EPR Corpus – Characteristics and Some Initial Findings , 2009 .

[13]  K. Bretonnel Cohen,et al.  A shared task involving multi-label classification of clinical free text , 2007, BioNLP@ACL.

[14]  Göran Petersson,et al.  Evaluation and implementation of e-health and health information initiatives: International perspectives , 2010, Health informatics journal.

[15]  Tapio Salakoski,et al.  Dependency-Based PropBanking of Clinical Finnish , 2010, Linguistic Annotation Workshop.