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Smart HIV/AIDS Digital System Using Big Data Analytics

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Progress in Advanced Computing and Intelligent Engineering

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 714))

Abstract

Smart HIV/AIDS digital system is a collection HIV/AIDS relevant electronic data integrated into a single location of the various data sources. This system will help to extract the useful information for various kinds of users like HIV/AIDS patients, doctors, researchers and government, etc., in a fast and flexible manner. Due to the huge amount of data collection in smart HIV/AIDS digital system, it needs to be processed with the help of big data technologies. So, the objective of this paper is to explain about the architecture of smart HIV/AIDS digital system. Various big data analytic techniques and its relevant models, algorithms, and tools to extract the useful information from the smart HIV/AIDS digital system with efficiently have also been discussed.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Park College of Engineering and Technology, Coimbatore, Tamil Nadu, India

    V. Ramasamy

  2. Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Coimbatore, Tamil Nadu, India

    B. Gomathy

  3. Department of Computer Science and Engineering, Biju Patnaik University of Technology, Rourkela, Odisha, India

    Rajesh Kumar Verma

Authors
  1. V. Ramasamy
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  2. B. Gomathy
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  3. Rajesh Kumar Verma
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Corresponding author

Correspondence to V. Ramasamy .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Chhabi Rani Panigrahi

  2. Department of Computer Science, Central University of Rajasthan, Ajmer, Rajasthan, India

    Arun K. Pujari

  3. Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur, Kharagpur, India

    Sudip Misra

  4. Department of Computer Science, Rama Devi Women’s University, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  5. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Ramasamy, V., Gomathy, B., Verma, R.K. (2019). Smart HIV/AIDS Digital System Using Big Data Analytics. In: Panigrahi, C., Pujari, A., Misra, S., Pati, B., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-13-0224-4_37

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  • DOI: https://doi.org/10.1007/978-981-13-0224-4_37

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0223-7

  • Online ISBN: 978-981-13-0224-4

  • eBook Packages: EngineeringEngineering (R0)

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