Frontiers in Public Health (May 2022)

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

  • Eric Appiah Mantey,
  • Conghua Zhou,
  • S. R. Srividhya,
  • Sanjiv Kumar Jain,
  • B. Sundaravadivazhagan

DOI
https://doi.org/10.3389/fpubh.2022.905265
Journal volume & issue
Vol. 10

Abstract

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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.

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