In this paper, we propose a novel privacy-preserving protocol for a clinical decision support system where the patients' data always remain in an encrypted form ...

In order to preserve privacy, we re-design the conventional Gaussian kernel based SVM algorithm as an encrypted-domain algorithm using the Paillier homomorphic ...

This paper proposes a novel privacy-preserving protocol for a clinical decision support system where the patients' data always remain in an encrypted form ...

In this paper, we propose a novel privacy-preserving protocol for a clinical decision support system where the patients' data always remain in an encrypted form ...

In order to preserve privacy, we re-design the conventional Gaussian kernel based SVM algorithm as an encrypted-domain algorithm using the Paillier homomorphic ...

Title. Privacy-Preserving Clinical Decision Support System Using Gaussian Kernel-Based Classification ; Publication Details. IEEE JOURNAL OF BIOMEDICAL AND ...

To address this issue, we present a novel privacy-preserving medical diagnosis scheme that leverages Gaussian kernel-based support vector machine and employs ...

In this paper, we propose a novel privacy-preserving protocol for a clinical decision support system where the patients' data always remain in an encrypted form ...

Jun 6, 2017 · Abstract —In this paper, the proposed system is designed which predicts the accurate disease and prevention.

It basically partitions the data into cluster and then finds the result. In addition performance criteria via extensive simulation also demonstrate that the ...