Anonymization and visualization of health data and biomarkers
Minh H. Vu, Daniel Edler, Carl Wibom, Martin Rosvall, Beatrice Melin · 2026
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Description
Vu and co-authors present in 2026 a full system to make fake health data that is safe to share for research. Real biobank data is rich but privacy law limits its spread. Their system builds fake records with deep models, adds formal privacy training for some models, and checks risk of leaks.
Tools in the system judge data quality, fill gaps from missing values, and display biobank data in clear views. Tests across 26 biobank datasets favored one diffusion model paired with a loss that tracks links and spread of values. The open, boxed software aims to let groups share useful data without exposing real patients.
Catalog record
| CREATOR | Minh H. Vu, Daniel Edler, Carl Wibom, Martin Rosvall, Beatrice Melin |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 104 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |