Measuring the impact of anonymization on real-world consolidated health datasets engineered for secondary research use: Experiments in the context of MODELHealth project.

Pitoglou, Stavros; Filntisi, Arianna; Anastasiou, Athanasios; Matsopoulos, George K; Koutsouris, Dimitrios

Pitoglou, Stavros; Filntisi, Arianna; Anastasiou, Athanasios; Matsopoulos, George K; Koutsouris, Dimitrios.

Afiliación

Pitoglou S; Computer Solutions SA, Research & Development Dpt., Athens, Greece.
Filntisi A; School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.
Anastasiou A; Computer Solutions SA, Research & Development Dpt., Athens, Greece.
Matsopoulos GK; School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.
Koutsouris D; School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece.

Front Digit Health ; 4: 841853, 2022.

Article en En | MEDLINE | ID: mdl-36120716

Palabras clave

anonymization; electronic health records; harmonization; information loss; real data

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Aspecto: Patient_preference Idioma: En Revista: Front Digit Health Año: 2022 Tipo del documento: Article País de afiliación: Grecia Pais de publicación: Suiza

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