Intelligent medical record management: leveraging deep learning, blockchain, and IPFS

This paper explores the application of deep learning, blockchain technology, and IPFS cloud storage technology in medical record systems. It analyzes the shortcomings of traditional medical records and the demands expected by users, and introduces the advantages of deep learning, blockchain, and IPFS technologies. Based on this, a design and implementation of an intelligent medical record management system based on deep learning, blockchain, and IPFS technologies are proposed, with a detailed analysis of the system architecture. Additionally, a new Efficient Attention Across Sequence module which is called EAS and the bert-blstm-EAS-CRF deep learning model are designed, verifying the feasibility and significant advantages of deep learning in intelligent medical systems. Experimental results show that the bert-blstm-EAS-CRF model has significant advantages over other traditional models.