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Patient-centric synthetic data generation, no reason to risk re-identification in biomedical data analysis
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 gra...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006164/ https://www.ncbi.nlm.nih.gov/pubmed/36899082 http://dx.doi.org/10.1038/s41746-023-00771-5 |