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A Generic Survey on Medical Big Data Analysis Using Internet of Things

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First International Conference on Artificial Intelligence and Cognitive Computing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 815))

Abstract

In medical science, various medical parameters and post-operational data should be analyzed properly. Using Internet of things (IoT), the physicians can access the local and remote area patients. The goal of this work is that through Web- and Internet-based communication doctors can monitor and analyze patient’s health data and parameters. Health data is a combination of different types of data, in different formats, thereby being referred to as big data. After patient interaction with the doctor, the medical record of the patient, which includes voluminous data regarding patient’s case history, doctor’s prescription, laboratory test report, diagnostic report, current treatment details, will be stored in electronic health records (EHRs). Other information, like pharmacy information, medical journals used to investigate and analyze the case, health insurance policies, may also be part of the record. This paper discusses the characteristics and challenges of medical big data. Medical data is vital since necessary and relevant information needs to be extracted for the well-being of the patient.

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Author information

Authors and Affiliations

  1. Haldia Institute of Technology, Haldia, India

    Sumanta Kuila & Subhankar Joardar

  2. Amity University, Noida, Uttar Pradesh, India

    Namrata Dhanda

  3. Jadavpur University, Kolkata, India

    Sarmistha Neogy

  4. Sunayan Advanced Eye Institute, Tamluk, India

    Jayanta Kuila

Authors
  1. Sumanta Kuila
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  2. Namrata Dhanda
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  3. Subhankar Joardar
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  4. Sarmistha Neogy
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  5. Jayanta Kuila
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Corresponding author

Correspondence to Sumanta Kuila .

Editor information

Editors and Affiliations

  1. School of Computer and Information Sciences, University of Hyderabad, Hyderabad, Telangana, India

    Raju Surampudi Bapi

  2. Department Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telangana, India

    Koppula Srinivas Rao

  3. IDRBT, Hyderabad, Telangana, India

    Munaga V. N. K. Prasad

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Kuila, S., Dhanda, N., Joardar, S., Neogy, S., Kuila, J. (2019). A Generic Survey on Medical Big Data Analysis Using Internet of Things. In: Bapi, R., Rao, K., Prasad, M. (eds) First International Conference on Artificial Intelligence and Cognitive Computing . Advances in Intelligent Systems and Computing, vol 815. Springer, Singapore. https://doi.org/10.1007/978-981-13-1580-0_26

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