Frontiers in Public Health | 卷:10 |
Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System | |
Sanjiv Kumar Jain1  B. Sundaravadivazhagan2  S. R. Srividhya3  Conghua Zhou4  Eric Appiah Mantey4  | |
[1] Department of Computer Science, Medi-Caps University, Indore, India; | |
[2] Department of Information Technology, Faculty of Information Technology, University of Technology and Applied Sciences-Al, Mussanah, Oman; | |
[3] Sathyabama Institute of Science and Technology, Chennai, India; | |
[4] School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China; | |
关键词: electronic health records; blockchain; deep learning; integrated environment; hyperledger fabric; | |
DOI : 10.3389/fpubh.2022.905265 | |
来源: DOAJ |
【 摘 要 】
Blockchain is a recent revolutionary technology primarily associated with cryptocurrencies. It has many unique features including its acting as a decentralized, immutable, shared, and distributed ledger. Blockchain can store all types of data with better security. It avoids third-party intervention to ensure better security of the data. Deep learning is another booming field that is mostly used in computer applications. This work proposes an integrated environment of a blockchain-deep learning environment for analyzing the Electronic Health Records (EHR). The EHR is the medical documentation of a patient which can be shared among hospitals and other public health organizations. The proposed work enables a deep learning algorithm act as an agent to analyze the EHR data which is stored in the blockchain. This proposed integrated environment can alert the patients by means of a reminder for consultation, diet chart, etc. This work utilizes the deep learning approach to analyze the EHR, after which an alert will be sent to the patient's registered mobile number.
【 授权许可】
Unknown