BVFLEMR: an integrated federated learning and blockchain technology for cloud-based medical records recommendation system

Abstract Blockchain is the latest boon in world which handles mainly banking and finance. The blockchain also used healthcare management system for effective maintenance of electronic health medical records. technology ensures security, privacy, immutability. Federated Learning a revolutionary learning technique deep learning, supports from distributed environment. This work proposes framework by integrating Deep order to provide tailored recommendation system. focuses on two modules blockchain-based storage records, where uses Hyperledger fabric capable continuously monitoring tracking updates Electronic Health Records cloud server. In second module, LightGBM N-Gram models are collaborative module recommend treatment patient’s cloud-based database after analyzing EHR. shows good accuracy. Several metrics like precision, recall, F1 scores measured showing its utilization security.