Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text
暂无分享,去创建一个
Lynette Hirschman | Bradley Malin | Samuel Bayer | John S. Aberdeen | David Carrell | Ben Wellner | Cheryl Clark | Ben Wellner | L. Hirschman | S. Bayer | B. Malin | J. Aberdeen | Cheryl Clark | D. Carrell | Samuel Bayer
[1] John F. Hurdle,et al. Assessing the Difficulty and Time Cost of De-identification in Clinical Narratives , 2006, Methods of Information in Medicine.
[2] Clement J. McDonald,et al. What can natural language processing do for clinical decision support? , 2009, J. Biomed. Informatics.
[3] Li Xiong,et al. An integrated framework for de-identifying unstructured medical data , 2009, Data Knowl. Eng..
[4] Peter L. Elkin,et al. Detection of infectious symptoms from VA emergency department and primary care clinical documentation , 2012, Int. J. Medical Informatics.
[5] Ricky K. Taira,et al. Identification of patient name references within medical documents using semantic selectional restrictions , 2002, AMIA.
[6] Rebecca Herold,et al. Standards for privacy of individually identifiable health information. Office of the Assistant Secretary for Planning and Evaluation, DHHS. Final rule. , 2001, Federal register.
[7] Lynette Hirschman,et al. Effects of personal identifier resynthesis on clinical text de-identification , 2010, J. Am. Medical Informatics Assoc..
[8] Clement J. McDonald,et al. Application of Information Technology: A Software Tool for Removing Patient Identifying Information from Clinical Documents , 2008, J. Am. Medical Informatics Assoc..
[9] Hua Xu,et al. A study of machine-learning-based approaches to extract clinical entities and their assertions from discharge summaries , 2011, J. Am. Medical Informatics Assoc..
[10] Lynette Hirschman,et al. The MITRE Identification Scrubber Toolkit: Design, training, and assessment , 2010, Int. J. Medical Informatics.
[11] James J. Lu,et al. HIDE: heterogeneous information DE-identification , 2009, EDBT '09.
[12] Róbert Busa-Fekete,et al. State-of-the-art anonymization of medical records using an iterative machine learning framework. , 2007 .
[13] Samantha Jenkins,et al. Information theory-based software metrics and obfuscation , 2004, J. Syst. Softw..
[14] S. Meystre,et al. Automatic de-identification of textual documents in the electronic health record: a review of recent research , 2010, BMC medical research methodology.
[15] Lynette Hirschman,et al. Measuring Risk and Information Preservation: Toward New Metrics for De-identification of Clinical Texts , 2010, Louhi@NAACL-HLT.
[16] K. Bretonnel Cohen,et al. Current issues in biomedical text mining and natural language processing , 2009, J. Biomed. Informatics.
[17] Peter L. Elkin,et al. Comparison of Natural Language Processing Biosurveillance Methods for Identifying Influenza From Encounter Notes , 2012, Annals of Internal Medicine.
[18] Hhs Office for Civil Rights. Standards for privacy of individually identifiable health information. Final rule. , 2002, Federal register.
[19] Peter Szolovits,et al. Evaluating the state-of-the-art in automatic de-identification. , 2007, Journal of the American Medical Informatics Association : JAMIA.
[20] Jeanmarie Mayer,et al. Inductive Creation of an Annotation Schema and a Reference Standard for De-identification of VA Electronic Clinical Notes , 2009, AMIA.
[21] Alexander A. Morgan,et al. Research Paper: Rapidly Retargetable Approaches to De-identification in Medical Records , 2007, J. Am. Medical Informatics Assoc..
[22] Shuying Shen,et al. Optimizing A Syndromic Surveillance Text Classifier for Influenza-like Illness: Does Document Source Matter? , 2008, AMIA.
[23] Richard L Berg,et al. Use of an Electronic Medical Record for the Identification of Research Subjects with Diabetes Mellitus , 2007, Clinical Medicine & Research.
[24] 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.
[25] Peter Szolovits,et al. Automated de-identification of free-text medical records , 2008, BMC Medical Informatics Decis. Mak..
[26] Prakash M. Nadkarni,et al. Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions , 2011, J. Am. Medical Informatics Assoc..
[27] Lin Chen,et al. Importance of multi-modal approaches to effectively identify cataract cases from electronic health records , 2012, J. Am. Medical Informatics Assoc..