Big Data Management of Hospital Data using Deep Learning and Block-chain Technology: A Systematic Review

Ejaz, Nawaz and Ramzan, Raza and Maryam, Tooba and Saqib, Shazia (2021) Big Data Management of Hospital Data using Deep Learning and Block-chain Technology: A Systematic Review. EAI Endorsed Transactions on Scalable Information Systems. e1. ISSN 2032-9407

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Abstract

The main recompenses of remote and healthcare are sensor-based medical information gathering and remote access to medical data for real-time advice. The large volume of data coming from sensors requires to be handled by implementing deep learning and machine learning algorithms to improve an intelligent knowledge base for providing suitable solutions as and when needed. Electronic medical records (EMR) are mostly stored in a client-server database and are supported by enabling technologies like Internet of Things (IoT), Sensors, cloud, big data, Deep Learning, etc. It is accessed by several users involved like doctors, hospitals, labs, insurance providers, patients, etc. Therefore, data security from illegal access is crucial especially to manage the integrity of data. In this paper, we describe all the basic concepts involved in management and security of such data and proposed a novel system to securely manage the hospital’s big data using Deep Learning and Block-Chain technology.

Item Type: Article
Uncontrolled Keywords: Electronic medical records, big data, Security, Block-chain, Deep learning
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 26 Jul 2021 15:31
Last Modified: 26 Jul 2021 15:31
URI: https://eprints.eudl.eu/id/eprint/5180

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