@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 = "Big-data, architecture, component, framework, healthcare, large data sets, open source software",
author = "Fuad Rahman and Slepian, \{Marvin J\} and Ari Mitra",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 4th IEEE International Conference on Big Data, Big Data 2016 ; Conference date: 05-12-2016 Through 08-12-2016",
year = "2016",
doi = "10.1109/BigData.2016.7841018",
language = "English (US)",
series = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3548--3555",
editor = "James Joshi and George Karypis and Ling Liu and Hu, \{Xiaohua Tony\} and Ronay Ak and Yinglong Xia and Weijia Xu and Aki-Hiro Sato and Sudarsan Rachuri and Lyle Ungar and Yu, \{Philip S.\} and Rama Govindaraju and Toyotaro Suzumura",
booktitle = "Proceedings - 2016 IEEE International Conference on Big Data, Big Data 2016",
}