Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System

Frontiers in Public Health

article

Eric Appiah Mantey¹  Conghua Zhou¹  S. R. Srividhya²  Sanjiv Kumar Jain³  B. Sundaravadivazhagan⁴ 

[1] School of Computer Science and Communication Engineering, Jiangsu University;Sathyabama Institute of Science and Technology;Department of Computer Science, Medi-Caps University;Department of Information Technology, Faculty of Information Technology, University of Technology and Applied Sciences-Al

关键词: electronic health records;    blockchain;    deep learning;    integrated environment;    hyperledger fabric;   

DOI  :  10.3389/fpubh.2022.905265

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 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】

CC BY