Anonymize or synthesize? Privacy-preserving methods for heart failure score analytics.

ABSTRACT:

Aims

Data availability remains a critical challenge in modern, data-driven medical research. Due to the sensitive nature of patient health records, they are rightfully subject to stringent privacy protection measures. One way to overcome these restrictions is to preserve patient privacy by using anonymization and synthetization strategies. In this work, we investigate the effectiveness of these methods for protecting patient privacy using real-world cardiology health records.

Methods and results

We implemented anonymization and synthetization techniques for a structure data set, which was collected during the HiGHmed Use Case Cardiology study. We employed the data anonymization tool ARX and the data synthetization framework ASyH individually and in combination. We evaluated

SUBMITTER: Johann TI 

PROVIDER: S-EPMC11750188 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature