Design and Build Blockchain-Based Privacy Preservation and Disease Prediction Using CNN Model

An unparalleled surge of data is causing a revolutionary change in the healthcare sector. The vast array of data, ranging from patient records to important scientific discoveries, presents new opportunities for raising the standard of healthcare. It presents issues with data security and privacy. With an immutable and transparent ledger system that supports safe healthcare data management, blockchain technology emerges as the most practical option. Blockchain technology combined with deep learning creates a novel method that combines patient privacy and accurate disease prediction. This innovative technique advances predictive medicine beyond concerns about data security in the healthcare industry. The project's main objectives are to handle health care records holistically, which include creating a dependable blockchain-based system for secure data storage; ensuring that deep learning-based disease prediction accuracy respects patient privacy rights under laws like HIPAA and GDPR; and, lastly, providing authorized healthcare users with decentralized, secure access at a lower cost. The proposed convolutional neural network model gives high performance analysis where accuracy is 96.503% which is better than the traditional model.