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A Markov Chain Replacement Strategy for Surrogate Identifiers: Minimizing Re-Identification Risk While Preserving Text Reuse.

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第一作者： John D,Osborne

第一单位： School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA.

作者： John D,Osborne ^[1] ; Andrew,Trotter ^[1] ; Tobias,O'Leary ^[1] ; Chris,Coffee ^[1] ; Micah D,Cochran ^[1] ; Luis,Mansilla-Gonzalez ^[1] ; Akhil,Nadimpalli ^[1] ; Alex,McAnnally ^[1] ; Abdulateef I,Almudaifer ^[2] ; Jeffrey R,Curtis ^[1] ; Salma M,Aly ^[1] ; Richard E,Kennedy ^[1]

作者单位： School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35294, USA. ^[1] Department of Computer Science, College of Computer Science and Engineering, Taibah University, Yanbu 46421, Saudi Arabia. ^[2]

关键词 data anonymization de-identification health insurance portability and accountability act named entity recognition natural language processing personally identifiable information

DOI 10.3390/electronics14193945

PMID 41122293

发布时间 2025-10-24

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A Markov Chain Replacement Strategy for Surrogate Identifiers: Minimizing Re-Identification Risk While Preserving Text Reuse.

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