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

Fuad Rahman; Marvin J Slepian; Ari Mitra

doi:10.1109/BigData.2016.7841018

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

Fuad Rahman, Marvin J Slepian, Ari Mitra

Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 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 language	English (US)
Title of host publication	Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3548-3555
Number of pages	8
ISBN (Electronic)	9781467390040
DOIs	https://doi.org/10.1109/BigData.2016.7841018
State	Published - Feb 2 2017
Event	4th IEEE International Conference on Big Data, Big Data 2016 - Washington, United States Duration: Dec 5 2016 → Dec 8 2016

Other

Other	4th IEEE International Conference on Big Data, Big Data 2016
Country/Territory	United States
City	Washington
Period	12/5/16 → 12/8/16

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

Access to Document

10.1109/BigData.2016.7841018

Cite this

A novel big-data processing framwork for healthcare applications : Big-data-healthcare-in-a-box. / Rahman, Fuad; Slepian, Marvin J; Mitra, Ari.

Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3548-3555 7841018.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Rahman, F, Slepian, MJ & 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., 7841018, Institute of Electrical and Electronics Engineers Inc., pp. 3548-3555, 4th IEEE International Conference on Big Data, Big Data 2016, Washington, United States, 12/5/16. https://doi.org/10.1109/BigData.2016.7841018

@inproceedings{3cbb004d6c43422dab35cb1185c4ac02,

title = "A novel big-data processing framwork for healthcare applications: Big-data-healthcare-in-a-box",

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'.",

keywords = "architecture, Big-data, component, framework, healthcare, large data sets, open source software",

author = "Fuad Rahman and Slepian, {Marvin J} and Ari Mitra",

year = "2017",

month = feb,

day = "2",

doi = "10.1109/BigData.2016.7841018",

language = "English (US)",

pages = "3548--3555",

booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",

}

TY - GEN

T1 - A novel big-data processing framwork for healthcare applications

T2 - 4th IEEE International Conference on Big Data, Big Data 2016

AU - Rahman, Fuad

AU - Slepian, Marvin J

AU - Mitra, Ari

PY - 2017/2/2

Y1 - 2017/2/2

N2 - 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'.

AB - 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'.

KW - architecture

KW - Big-data

KW - component

KW - framework

KW - healthcare

KW - large data sets

KW - open source software

UR - http://www.scopus.com/inward/record.url?scp=85015221932&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85015221932&partnerID=8YFLogxK

U2 - 10.1109/BigData.2016.7841018

DO - 10.1109/BigData.2016.7841018

M3 - Conference contribution

AN - SCOPUS:85015221932

SP - 3548

EP - 3555

BT - Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 5 December 2016 through 8 December 2016

ER -

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

Abstract

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this