Decentralized ML Solutions for Healthcare: Integrating SHA-256 and Blockchain for Data Integrity

Abstract: This research addresses key challenges in digital healthcare specifically data security, privacy, and integrity of medical records—by proposing a blockchain-based system powered by the SHA-256 algorithm and machine learning. Traditional centralized healthcare systems face threats like unauthorized data access, inefficiency, and manipulation. The proposed system provides a decentralized, tamper-proof environment for storing and accessing medical records while offering predictive analytics for disease detection. Using RFID-based authentication, smart contracts, and a machine learning prediction engine, the system ensures secure and intelligent healthcare. Implementation and experimentation demonstrate improved data integrity, security, and diagnostic accuracy.

Keywords: Blockchain, Healthcare System, SHA-256, Machine Learning, Data Security, Predictive Analytics, Smart Contracts, RFID Authentication, Medical Data Privacy, Decentralized Storage, Disease Prediction, Healthcare Efficiency.