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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...

Ausführliche Beschreibung

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Bibliografische Detailangaben
Hauptverfasser: Fairuz Haq, Chao Chen, Zesheng Chen
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2025-11-01
Schriftenreihe:Algorithms
Schlagworte:
Online-Zugang:https://www.mdpi.com/1999-4893/18/12/731
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