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Utility-Preserving Anonymization in a Real-World Scenario: Evidence from the German Chronic Kidney Disease (GCKD) Study.
Pilgram, Lisa; Schäffner, Elke; Eckardt, Kai-Uwe; Prasser, Fabian.
Afiliação
  • Pilgram L; Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Schäffner E; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, BIH Biomedical Innovation Academy, BIH Charité Junior Digital Clinician Scientist Program, Berlin, Germany.
  • Eckardt KU; Institute of Public Health, Charité - Universitätsmedizin Berlin, Berlin, Germany.
  • Prasser F; Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Stud Health Technol Inform ; 302: 28-32, 2023 May 18.
Article em En | MEDLINE | ID: mdl-37203603
Data sharing provides benefits in terms of transparency and innovation. Privacy concerns in this context can be addressed by anonymization techniques. In our study, we evaluated anonymization approaches which transform structured data in a real-world scenario of a chronic kidney disease cohort study and checked for replicability of research results via 95% CI overlap in two differently anonymized datasets with different protection degrees. Calculated 95% CI overlapped in both applied anonymization approaches and visual comparison presented similar results. Thus, in our use case scenario, research results were not relevantly impacted by anonymization, which adds to the growing evidence of utility-preserving anonymization techniques.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Privacidade / Anonimização de Dados Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Privacidade / Anonimização de Dados Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha