An Ontology-based Framework for Syndromic Surveillance Method Selection

Gabriela Henriques, Deborah Stacey

2012

Abstract

Syndromic surveillance is the detection of a disease outbreak or bioterrorist attack. The process of surveillance includes various steps: data collection, data analysis and result interpretation. The goal of syndromic surveillance is to be able to make a rapid and accurate diagnostic of a potential outbreak. Method types range from traditional statistical approaches to algorithms which have been adapted from other fields. With a variety of options it can be difficult selecting the method best suited for analysis on a given set of data. This paper will focus on developing an ontology-based framework for selecting the best suited method(s) for data analysis, focusing on the end-users perspective.

Paper Citation

in Harvard Style

Henriques G. and Stacey D. (2012). An Ontology-based Framework for Syndromic Surveillance Method Selection . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012) ISBN 978-989-8565-30-3, pages 396-400. DOI: 10.5220/0004146003960400

in Bibtex Style

@conference{keod12,
author={Gabriela Henriques and Deborah Stacey},
title={An Ontology-based Framework for Syndromic Surveillance Method Selection},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)},
year={2012},
pages={396-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004146003960400},
isbn={978-989-8565-30-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2012)
TI - An Ontology-based Framework for Syndromic Surveillance Method Selection
SN - 978-989-8565-30-3
AU - Henriques G.
AU - Stacey D.
PY - 2012
SP - 396
EP - 400
DO - 10.5220/0004146003960400