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'.
| 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 | |
| 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 | United States |
| City | Washington |
| Period | 12/5/16 → 12/8/16 |
Fingerprint
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
A novel big-data processing framwork for healthcare applications : Big-data-healthcare-in-a-box. / Rahman, Fuad; Slepian, Marvin; 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
}
TY - GEN
T1 - A novel big-data processing framwork for healthcare applications
T2 - Big-data-healthcare-in-a-box
AU - Rahman,Fuad
AU - Slepian,Marvin
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
SP - 3548
EP - 3555
BT - Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -