A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box

Fuad Rahman, Marvin J Slepian, Ari Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Herein we present a novel big-data framework for healthcare applications. Healthcare data is well suited for bigdata processing and analytics because of the variety, veracity and volume of these types of data. In recent times, many areas within healthcare have been identified that can directly benefit from such treatment. However, setting up these types of architecture is not trivial. We present a novel approach of building a big-data framework that can be adapted to various healthcare applications with relative use, making this a one-stop 'Big-Data-Healthcare-in-a-Box'.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3548-3555
Number of pages8
ISBN (Electronic)9781467390040
DOIs
StatePublished - Feb 2 2017
Event4th IEEE International Conference on Big Data, Big Data 2016 - Washington, United States
Duration: Dec 5 2016Dec 8 2016

Other

Other4th IEEE International Conference on Big Data, Big Data 2016
CountryUnited States
CityWashington
Period12/5/1612/8/16

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Keywords

  • architecture
  • Big-data
  • component
  • framework
  • healthcare
  • large data sets
  • open source software

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Hardware and Architecture

Cite this

Rahman, F., Slepian, M. J., & Mitra, A. (2017). A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box. In Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016 (pp. 3548-3555). [7841018] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2016.7841018