ORBiT - The Oak Ridge Biosurveillance Toolkit

Authors

  • Laura Pullum Computational Data Analytics, Oak Ridge National Laboratory, Oak Ridge, TN, United States
  • Arvind Ramanathan Computational Data Analytics, Oak Ridge National Laboratory, Oak Ridge, TN, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5142

Abstract

We describe ORBiT, the Oak Ridge Biosurveillance Toolkit, the objective of which is to provide 1) forecasting and early warning, and 2) an extensible data analytics platform for biosurveillance by enabling the use of traditional and non-traditional datasets, consisting of heterogeneous data types and modalities. ORBiT includes a data collection interface, analytic components, higher-order statistical tools, and a visual front-end with visual analytics. ORBiT is implemented as a distributed analytic platform consisting of a software stack atop of Hadoop and uses Titan, a distributed graph database as a backend for data storage.

Author Biography

Laura Pullum, Computational Data Analytics, Oak Ridge National Laboratory, Oak Ridge, TN, United States

Dr. Laura Pullum is a Sr. Research Scientist with Oak Ridge National Laboratory. She has over 25 years research experience in software dependability, including intelligent software. Dr. Pullum has written many peer-reviewed papers and 3 books (on software fault tolerance and V&V of neural networks). She holds a BS in Math, an MS in Operations Research, an MBA, a doctorate in Systems Engineering and Operations Research, and is currently pursuing a PhD in Geology.

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Published

2014-03-09

How to Cite

Pullum, L., & Ramanathan, A. (2014). ORBiT - The Oak Ridge Biosurveillance Toolkit. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5142

Issue

Section

Oral Presentations