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Article

Patient-centric synthetic data generation, no reason to risk re-identification in the analysis of biomedical pseudonymised data

2022-05-19

Abstract excerpt

<title>Abstract</title> <p>Anonymization is crucial in the era of big data analysis. While nearly all computational methods operate on pseudonymised personal data, re-identification remains a risk. With personal health data, this re-identification risk may be considered a double-crossing of patients’ trust. Herein, we present a new method to generate synthetic data of individual granularity while holding on to pa...

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Literature Corpus work
65335d8c-8b64-5ed9-abe2-e2a126c1041a
DOI
10.21203/rs.3.rs-1674043/v1
Open publication

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Patient-centric synthetic data generation, no reason to risk re-identification in the analysis of biomedical pseudonymised dataDOI 10.21203/rs.3.rs-1674043/v1
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