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Local Differential Privacy in the Medical Domain to Protect Sensitive Information: Algorithm Development and Real-World Validation
BACKGROUND: Privacy is of increasing interest in the present big data era, particularly the privacy of medical data. Specifically, differential privacy has emerged as the standard method for preservation of privacy during data analysis and publishing. OBJECTIVE: Using machine learning techniques, we...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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JMIR Publications
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8663640/ https://www.ncbi.nlm.nih.gov/pubmed/34747711 http://dx.doi.org/10.2196/26914 |