A Novel Disease Prediction Process in IoMT Using Hybrid Encryption and Decryption Model with Optimized Deep Learning Strategy

Key Points

• The model boosts disease prediction accuracy for Internet of Medical Things, enhancing patient care.
• Using optimized deep learning techniques, the model shows a predictive improvement by 20%.
• Analysis of hybrid encryption methods ensures secure patient data transmission and management.
• This process highlights the need for further research on implementing these strategies in clinical settings.