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

INTRODUCTION: Electronic Health Records (EHRs) are essential data structures, enabling the sharing of valuable medical care information for a diverse patient population and being reused as input to predictive models for clinical research. However, issues such as the heterogeneity of EHR data and the...

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Detalles Bibliográficos
Autores principales: Pitoglou, Stavros, Filntisi, Arianna, Anastasiou, Athanasios, Matsopoulos, George K., Koutsouris, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474677/
https://www.ncbi.nlm.nih.gov/pubmed/36120716
http://dx.doi.org/10.3389/fdgth.2022.841853

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9474677/
https://www.ncbi.nlm.nih.gov/pubmed/36120716
http://dx.doi.org/10.3389/fdgth.2022.841853

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