This paper is in the following e-collection/theme issue:

Ethics, Privacy, and Legal Issues (479)

Published on in Vol 14, No 1 (2012): Jan-Feb

De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset

De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset

De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset

Authors of this article:

Khaled El Emam1, 2 ;   Luk Arbuckle1 Author Orcid Image ;   Gunes Koru3 ;   Benjamin Eze4 ;   Lisa Gaudette4 ;   Emilio Neri1 ;   Sean Rose4 ;   Jeremy Howard5 ;   Jonathan Gluck6
Article Authors Cited by (35) Tweetations (45) Metrics

Journals

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  14. Li J. A Privacy Preservation Model for Health-Related Social Networking Sites. Journal of Medical Internet Research 2015;17(7):e168 View
  15. Tayal A, Coleman T, Li Y. Bounding the difference between RankRC and RankSVM and application to multi-level rare class kernel ranking. Data Mining and Knowledge Discovery 2018;32(2):417 View
  16. Collins B. Big Data and Health Economics: Strengths, Weaknesses, Opportunities and Threats. PharmacoEconomics 2016;34(2):101 View
  17. Branson J, Good N, Chen J, Monge W, Probst C, El Emam K. Evaluating the re-identification risk of a clinical study report anonymized under EMA Policy 0070 and Health Canada Regulations. Trials 2020;21(1) View
  18. Sockolow P, Bowles K, Topaz M, Koru G, Hellesø R, O'Connor M, Bass E. The Time is Now: Informatics Research Opportunities in Home Health Care. Applied Clinical Informatics 2021;12(01):100 View
  19. Oh S, Sung M, Rhee Y, Hong N, Park Y. Evaluation of the Privacy Risks of Personal Health Identifiers and Quasi-Identifiers in a Distributed Research Network: Development and Validation Study. JMIR Medical Informatics 2021;9(5):e24940 View
  20. Parameshwarappa P, Chen Z, Koru G. Anonymization of Daily Activity Data by Using ℓ-diversity Privacy Model. ACM Transactions on Management Information Systems 2021;12(3):1 View
  21. Fabris A, Messina S, Silvello G, Susto G. Algorithmic fairness datasets: the story so far. Data Mining and Knowledge Discovery 2022;36(6):2074 View
  22. Xia W, Basford M, Carroll R, Clayton E, Harris P, Kantacioglu M, Liu Y, Nyemba S, Vorobeychik Y, Wan Z, Malin B. Managing re-identification risks while providing access to the All of Us research program. Journal of the American Medical Informatics Association 2023;30(5):907 View
  23. Chen R, Wang J, Williamson D, Chen T, Lipkova J, Lu M, Sahai S, Mahmood F. Algorithmic fairness in artificial intelligence for medicine and healthcare. Nature Biomedical Engineering 2023;7(6):719 View

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