Lata L. Ragha

ElGamal Based Homophorphic Encryption UsingAT-BiGRU for Efficient Privacy PreservingDisease Prediction Scheme in Healthcare Data

This paper suggests an effective privacy-preserving strategy for patient healthcare data from IoT devices in order to anticipate diseases in the contemporary medical field and achieves 93.47% accuracy, 6.53% error, and 93.45% precision in encrypted data performance metrics.