Privacy-Preserving Classification of Medical Tabular Data with Homomorphic Encryption
Machine learning (ML) offers significant potential for disease prediction, clinical decision support, and medical data classification, but its reliance on sensitive patient data raises privacy and security concerns, particularly under strict healthcare regulations. Traditional encryption methods req...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2025-11-01
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| Col·lecció: | Algorithms |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1999-4893/18/12/731 |
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