HIDE: An integrated system for health information DE-identification

Proceedings - IEEE Symposium on Computer-Based Medical Systems

Volumn , Issue , 2008, Pages 254-259

  Gardner, James ^a   Xiong, Li ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANONYMIZATION; COMPUTER-BASED MEDICAL SYSTEMS; CONDITIONAL RANDOM FIELDS; DATA SHARING; DE-IDENTIFICATION; HEALTH INFORMATIONS; IDENTIFIABILITY; INTEGRATED SYSTEMS; INTERNATIONAL SYMPOSIUM; K-ANONYMIZATION; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL TEXT DOCUMENTS; PROTOTYPE SYSTEMS; PUBLIC HEALTH; RESEARCH DEVELOPMENTS; STRUCTURED DATA; UNSTRUCTURED DATA;

CANNING; HEALTH; INTEGRATED OPTICS; TECHNICAL PRESENTATIONS;

DATA PRIVACY;

EID: 51849139562     PISSN: 10637125     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CBMS.2008.129     Document Type: Conference Paper

References (36)

1. C. C. Aggarwal. On k-anonymity and the curse of dimensionality. In VLDB, pages 901-909, 2005.
2. G. Aggarwal, T. Feder, K. Kenthapadi, S. Khuller, R. Panigrahy, D. Thomas, and A. Zhu. Achieving anonymity via clustering. In PODS, pages 153-162, 2006.
3. R. M. B. A. Beckwith, U. J. Balis, and F. Kuo. Development and evaluation of an open source software tool for deidentification of pathology reports. BMC Medical Informatics and Decision Making, 6(12), 2006.
4. R. J. Bayardo and R. Agrawal. Data privacy through optimal k-anonymization. In ICDE, 2005.
5. E. Bertino, B. Ooi, Y. Yang, and R. H. Deng. Privacy and ownership preserving of outsourced medical data. In ICDE, 2005.
6. B. C. M. Fung, K. Wang, and P. S. Yu. Top-down specialization for information and privacy preservation. In ICDE, 2005.
7. D. Gupta, M. Saul, and J. Gilbertson. Evaluation of a deidentification (de-id) software engine to share pathology reports and clinical documents for research. American Journal of Clinical Pathology, 2004.
8. V. S. Iyengar. Transforming data to satisfy privacy constraints. In KDD, pages 279-288, 2002.
9. D. Kifer and J. Gehrke. Injecting utility into anonymized datasets. In SIGMOD Conference, pages 217-228, 2006.
10. J. Lafferty, A. McCallum, and F. Pereira. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. 18th International Conf. on Machine Learning, 2001.
11. R. Leaman and G. G. Banner: An executable survey of advances in biomedical named entity recognition. In Pacific Symposium on Biocomputing, 2008.
12. K. LeFevre, D. Dewitt, and R. Ramakrishnan. Incognito: Efficient full-domain k-anonymity. In ACM SIGMOD International Conference on Management of Data, 2005.
13. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Mondrian multidimensional k-anonymity. In IEEE ICDE, 2006.
14. K. LeFevre, D. DeWitt, and R. Ramakrishnan. Workloadaware anonymization. In SIGKDD, 2006.
15. N. Li and T. Li. t-closeness: Privacy beyond k-anonymity and l-diversity. In ICDE, 2007.
16. A. Machanavajjhala, J. Gehrke, D. Kifer, and M. Venkitasubramaniam. 1-diversity: Privacy beyond k-anonymity. In ICDE, 2006.
17. C. Manning and H. Schutze. Foundations of Statistical Natural Language Processing. MIT Press, 1999.
18. D. J. Martin, D. Kifer, A. Machanavajjhala, J. Gehrke, and J. Y Halpern. Worst-case background knowledge for privacypreserving data publishing. In ICDE, 2007.
19. A. McCallum. Efficiently inducing features of conditional random fields. In 19th Conference in Uncertainty inArticifical Intelligence (UAI), 2003.
20. A. K. McCallum. Mallet: A machine learning for language toolkit, http://mallet.cs.umass.edu, 2002.
21. A. Meyerson and R. Williams. On the complexity of optimal k-anonymity. In PODS, pages 223-228, 2004.
22. D. Nadeau and S. Sekine. A survey of named entity recognition and classification. Linguisticae Investigationes, 30(7), 2007.
23. M. E. Nergiz, M. Atzori, and C. Clifton. Hiding the presence of individuals from shared databases. In SIGMOD, 2007.
24. T. Sibanda and O. Uzuner. Role of local context in deidentification of ungrammatical fragmented text. In North American Chapter of Association for Computational Linguistics/Human Language Technology, 2006.
25. L. Sweeney. Replacing personally-identifying information in medical records, the scrub system. Journal of the American Informatics Association, pages 333-337, 1996.
26. L. Sweeney. Guaranteeing anonymity when sharing medical data, the datafly system. In Proceedings of AMIA Annual Fall Symposium, 1997.
27. L. Sweeney, k-anonymity: a model for protecting privacy. International journal on uncertainty, fuzziness and knowledge-based systems, 10(5), 2002.
28. R. K. Taira, A. A. Bui, and H. Kangarloo. Identification of patient name references within medical documents using semantic selectional restrictions. In AMIA, 2002.
29. S. M. Thomas, B. Mamlin, and G. S. adn C. McDonald. A successful technique for removing names in pathology reports. In AMIA, 2002.
30. T. M. Truta and B. Vinay. Privacy protection: p-sensitive k-anonymity property. In ICDE Workshops, 2006.
31. K. Wang and B. C. M. Fung. Anonymizing sequential releases. In ACM SIGKDD, 2006.
32. K. Wang, P. S. Yu, and S. Chakraborty. Bottom-up generalization: a data mining solution to privacy protection. In ICDM, 2004.
33. X. Xiao and Y Tao. Anatomy: Simple and effective privacy preservation. In VLDS, pages 139-150, 2006.
34. X. Xiao and Y Tao. M-invariance: towards privacy preserving re-publication of dynamic datasets. In SIGMOD Conference, pages 689-700, 2007.
35. Q. Zhang, N. Koudas, D. Srivastava, and T. Yu. Aggregate query answering on anonymized tables. In ICDE, 2007.
36. S. Zhong, Z. Yang, and R. N. Wright. Privacy-enhancing k-anonymization of customer data. In PODS, 2005.