Published on 27.02.12 in Vol 14, No 1 (2012): Jan-Feb
Works citing "De-identification Methods for Open Health Data: The Case of the Heritage Health Prize Claims Dataset"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.2001):
(note that this is only a small subset of citations)
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Somolinos R, Munoz A, Hernando ME, Pascual M, Caceres J, Sanchez-de-Madariaga R, Fragua JA, Serrano P, Salvador CH. 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
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Tsang WK, Benoit DF. Gaussian processes for daily demand prediction in tourism planning. Journal of Forecasting 2020;39(3):551
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. 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
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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
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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
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Chen X, Fann YC, 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
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Asmaa HR, Norizan BMY. Sharing healthcare information based on privacy preservation. Scientific Research and Essays 2015;10(5):184
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Shin S, Park YR, Shin Y, Choi HJ, Park J, Lyu Y, Lee M, Choi C, Kim W, Lee JH. A De-identification Method for Bilingual Clinical Texts of Various Note Types. Journal of Korean Medical Science 2015;30(1):7
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Scaiano M, Middleton G, Arbuckle L, Kolhatkar V, Peyton L, Dowling M, Gipson DS, 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
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Frank RD, Kriesberg A, Yakel E, Faniel IM. 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
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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
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Park MY, Yoon D, Choi NK, Lee J, Lee K, Lim HS, Park BJ, Kim JH, Park RW. Construction of an Open-Access QT Database for Detecting the Proarrhythmia Potential of Marketed Drugs: ECG-ViEW. Clinical Pharmacology & Therapeutics 2012;92(3):393
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Gray EA, Thorpe JH. Comparative effectiveness research and big data: balancing potential with legal and ethical considerations. Journal of Comparative Effectiveness Research 2015;4(1):61
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. A Privacy Preservation Model for Health-Related Social Networking Sites. Journal of Medical Internet Research 2015;17(7):e168
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Tayal A, Coleman TF, 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
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. Big Data and Health Economics: Strengths, Weaknesses, Opportunities and Threats. PharmacoEconomics 2016;34(2):101
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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)
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Sockolow PS, Bowles KH, Topaz M, Koru G, Hellesø R, O'Connor M, Bass EJ. The Time is Now: Informatics Research Opportunities in Home Health Care. Applied Clinical Informatics 2021;12(01):100
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Oh S, Sung M, Rhee Y, Hong N, Park YR. 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
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Parameshwarappa P, Chen Z, Koru G. Anonymization of Daily Activity Data by Using â„“-diversity Privacy Model. ACM Transactions on Management Information Systems 2021;12(3):1
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Fabris A, Messina S, Silvello G, Susto GA. Algorithmic fairness datasets: the story so far. Data Mining and Knowledge Discovery 2022;36(6):2074
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Xia W, Basford M, Carroll R, Clayton EW, Harris P, Kantacioglu M, Liu Y, Nyemba S, Vorobeychik Y, Wan Z, Malin BA. 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
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Chen RJ, Wang JJ, Williamson DFK, Chen TY, Lipkova J, Lu MY, Sahai S, Mahmood F. Algorithmic fairness in artificial intelligence for medicine and healthcare. Nature Biomedical Engineering 2023;7(6):719
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.2001):
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Becker T, Curry E, Jentzsch A, Palmetshofer W. New Horizons for a Data-Driven Economy. 2016. Chapter 15:263
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Sampson M, Shamseer L, Vohra S. The Essential Guide to N-of-1 Trials in Health. 2015. Chapter 14:175
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Narayanan A, Huey J, Felten EW. Data Protection on the Move. 2016. Chapter 13:357
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. Automating Open Source Intelligence. 2016. :1
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. Guide to the De-Identification of Personal Health Information. 2013. :279
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Grabus S, Greenberg J. Metadata and Semantic Research. 2017. Chapter 29:300
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Mensah E, Goderre JL. Public Health Informatics and Information Systems. 2020. Chapter 7:105
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Parameshwarappa P, Chen Z, Koru G. Research Anthology on Privatizing and Securing Data. 2021. chapter 32:715
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