Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data an...
Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
While nearly all computational methods operate on pseudonymized 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 patients’ privacy. De...
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Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_689ce04c27914253b08ba108fa09d2ad
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_689ce04c27914253b08ba108fa09d2ad
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ISSN
2398-6352
E-ISSN
2398-6352
DOI
10.1038/s41746-023-00771-5
