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

Ethics, Privacy, and Legal Issues (456)

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 (51) Metrics

Journals

  1. Somolinos R, Munoz A, Hernando M, Pascual M, Caceres J, Sanchez-de-Madariaga R, Fragua J, Serrano P, Salvador C. Service for the Pseudonymization of Electronic Healthcare Records Based on ISO/EN 13606 for the Secondary Use of Information. IEEE Journal of Biomedical and Health Informatics 2015;19(6):1937 View
  2. Tsang W, Benoit D. Gaussian processes for daily demand prediction in tourism planning. Journal of Forecasting 2020;39(3):551 View
  3. Park R. A clinical research strategy using longitudinal observational data in the post-electronic health records era. Journal of the Korean Medical Association 2012;55(8):711 View
  4. Parameshwarappa P, Chen Z, Koru G. An Effective and Computationally Efficient Approach for Anonymizing Large-Scale Physical Activity Data. International Journal of Information Security and Privacy 2020;14(3):72 View
  5. Suominen H, Zhou L, Hanlen L, Ferraro G. Benchmarking Clinical Speech Recognition and Information Extraction: New Data, Methods, and Evaluations. JMIR Medical Informatics 2015;3(2):e19 View
  6. Chen X, Fann Y, McAuliffe M, Vismer D, Yang R. Checking Questionable Entry of Personally Identifiable Information Encrypted by One-Way Hash Transformation. JMIR Medical Informatics 2017;5(1):e2 View
  7. Asmaa H, Norizan B. Sharing healthcare information based on privacy preservation. Scientific Research and Essays 2015;10(5):184 View
  8. Shin S, Park Y, Shin Y, Choi H, Park J, Lyu Y, Lee M, Choi C, Kim W, Lee J. A De-identification Method for Bilingual Clinical Texts of Various Note Types. Journal of Korean Medical Science 2015;30(1):7 View
  9. Scaiano M, Middleton G, Arbuckle L, Kolhatkar V, Peyton L, Dowling M, Gipson D, El Emam K. A unified framework for evaluating the risk of re-identification of text de-identification tools. Journal of Biomedical Informatics 2016;63:174 View
  10. Frank R, Kriesberg A, Yakel E, Faniel I. Looting hoards of gold and poaching spotted owls: Data confidentiality among archaeologists & zoologists. Proceedings of the Association for Information Science and Technology 2015;52(1):1 View
  11. Herwartz H, Klein N, Strumann C. Modelling Hospital Admission and Length of Stay by Means of Generalised Count Data Models. Journal of Applied Econometrics 2016;31(6):1159 View
  12. Park M, Yoon D, Choi N, Lee J, Lee K, Lim H, Park B, Kim J, Park R. Construction of an Open-Access QT Database for Detecting the Proarrhythmia Potential of Marketed Drugs: ECG-ViEW. Clinical Pharmacology & Therapeutics 2012;92(3):393 View
  13. Gray E, Thorpe J. Comparative effectiveness research and big data: balancing potential with legal and ethical considerations. Journal of Comparative Effectiveness Research 2015;4(1):61 View
  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

Books/Policy Documents

  1. Becker T, Curry E, Jentzsch A, Palmetshofer W. New Horizons for a Data-Driven Economy. View
  2. Sampson M, Shamseer L, Vohra S. The Essential Guide to N-of-1 Trials in Health. View
  3. Narayanan A, Huey J, Felten E. Data Protection on the Move. View
  4. Ponder-Sutton A. Automating Open Source Intelligence. View
  5. . Guide to the De-Identification of Personal Health Information. View
  6. Grabus S, Greenberg J. Metadata and Semantic Research. View
  7. Mensah E, Goderre J. Public Health Informatics and Information Systems. View
  8. Parameshwarappa P, Chen Z, Koru G. Research Anthology on Privatizing and Securing Data. View