Secured Health Using Machine Learning Adoption in Blockchain

The integration of Blockchain and Machine Learning (ML) in healthcare offers a robust solution for securing and sharing patient data while enabling predictive health monitoring. Blockchain, with its decentralized and immutable nature, ensures the integrity and security of patient records. The proposed system collects vital patient details, such as heart rate and cholesterol, for condition assessment using the Naïve Bayes ML algorithm. Storing doctor and patient data in MySQL and leveraging Blockchain for securely storing ML classification results, the system employs various modules. Patient registration, medical health addition, and access control through requests and permissions are facilitated, ensuring privacy and data security. Utilizing AES encryption for data stored in Blockchain further enhances the overall security posture of the system.

Keywords:

Blockchain, Machine Learning, Healthcare, Naïve Bayes, Encryption, Decentralization, Patient Data Security.