In recent times, advanced developments in healthcare sector result in the generation of massive amounts of electronic health records (EHRs). EHR system enables the data owner to control his/her data and share it with designated people. The vast volume of data in the healthcare system makes it difficult for data to ensure security and diagnostic processes. To resolve these issues, this paper develops a new hyperledger blockchain enabled secure medical data management with deep learning (DL)-based diagnosis (HBESDM-DLD) model. The presented model involves distinct stages of operations such as encryption, optimal key generation, hyperledger blockchain-based secure data management, and diagnosis. The presented model allows the user to control access to data, permit the hospital authorities to read/write data, and alert emergency contacts. For encryption, SIMON block cipher technique is applied. At the same time, to improve the efficiency of the SIMON technique, a group teaching optimization algorithm (GTOA) is applied for the optimal key generation of the SIMON technique. Moreover, the sharing of medical data takes place using multi-channel hyperledger blockchain that utilizes a blockchain for storing patient visit data and for the medical institutions to record links for the EHRs saved in external databases. Once the data are decrypted at the receiving end, finally, variational autoencoder (VAE)-based diagnostic model is applied to detect the existence of the diseases. The performance validation of the HBESDM-DLD model takes place on benchmark medical dataset and the results are inspected under various performance measures. The experimental results proves that the HBESDM-DLD methodology is superior to state-of-the-art methods.

近年来，医疗保健领域的先进发展导致了大量电子健康记录 (EHR) 的产生。EHR 系统使数据所有者能够控制他/她的数据并与指定人员共享。医疗保健系统中的海量数据使得数据难以确保安全和诊断过程。为了解决这些问题，本文开发了一种新的超级账本区块链，通过基于深度学习 (DL) 的诊断 (HBESDM-DLD) 模型支持安全的医疗数据管理。所提出的模型涉及不同的操作阶段，例如加密、最佳密钥生成、基于超级账本区块链的安全数据管理和诊断。所呈现的模型允许用户控制对数据的访问，允许医院当局读/写数据，并提醒紧急联系人。对于加密，应用了 SIMON 分组密码技术。同时，为了提高SIMON技术的效率，采用组教学优化算法(GTOA)对SIMON技术进行最优密钥生成。此外，医疗数据的共享是使用多渠道超级账本区块链进行的，该区块链利用区块链来存储患者访问数据，并让医疗机构记录保存在外部数据库中的 EHR 的链接。一旦数据在接收端被解密，最后，基于变分自编码器（VAE）的诊断模型被应用于检测疾病的存在。HBESDM-DLD 模型的性能验证在基准医疗数据集上进行，并在各种性能指标下检查结果。