sis 18: e9

Research Article

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

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  • @ARTICLE{10.4108/eai.23-3-2021.169072,
        author={Nawaz Ejaz and Raza Ramzan and Tooba Maryam and Shazia Saqib},
        title={Big Data Management of Hospital Data using Deep Learning and Block-chain Technology: A Systematic Review},
        journal={EAI Endorsed Transactions on Scalable Information Systems: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={SIS},
        year={2021},
        month={3},
        keywords={Electronic medical records, big data, Security, Block-chain, Deep learning},
        doi={10.4108/eai.23-3-2021.169072}
    }
    
  • Nawaz Ejaz
    Raza Ramzan
    Tooba Maryam
    Shazia Saqib
    Year: 2021
    Big Data Management of Hospital Data using Deep Learning and Block-chain Technology: A Systematic Review
    SIS
    EAI
    DOI: 10.4108/eai.23-3-2021.169072
Nawaz Ejaz1, Raza Ramzan1, Tooba Maryam1,*, Shazia Saqib1
  • 1: Department of Computer Science, Lahore Garrison University, Lahore, Pakistan
*Contact email: Tooba.maryam@lgu.edu.pk

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.