Distributed and Scalable Healthcare Data Storage Using Blockchain and KNN Classification

Medical data from patients is saved electronically in the healthcare industry. The paper suggests storing medical data on a distributed on-chain utilizing InterPlanetary File Storage (IPFS) and blockchain. The use of InterPlanetary File Storage can help an organization manage the storage space efficiently. The proposed method gives details about the intersection of artificial intelligence and blockchain. This proposed approach eliminates the requirement for a trusted centralized authority, intermediates, and transaction records, resulting in increased efficiency and safety while retaining high integrity, scalability, reliability, and security. It also emphasizes smart contracts to manage and control all interactions and transactions between all healthcare participants. Using artificial intelligence, a revolutionary new system can be built in which a huge amount of medical data can be processed efficiently and can be used to predict diseases. The paper utilizes the assistance of binary classification method by K-nearest neighboring algorithm for machine learning to foresee the patient’s heart health. Using InterPlanetary File Storage (IPFS) improves the storage system framework by making data distributed and, subsequently, more reliable, scalable, and accessible to the clients.