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 | |
| 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 |
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
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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