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February 3, 2026New Generation Computing

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

Garima Verma Shiva Prakash

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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.

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Implication

Observational analysis reveals effective disease prediction in IoMT, suggesting enhanced security and accuracy for health monitoring.

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Cite This Study

Verma et al. (2026) studied this question.

synapsesocial.com/papers/69a7660bbadf0bb9e87db713 https://doi.org/10.1007/s00354-025-00314-4

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