DocumentCode :
3650001
Title :
SimPHO: An ontology for simulation modeling of population health
Author :
Anya Okhmatovskaia;David L. Buckeridge;Arash Shaban-Nejad;Andrew Sutcliffe;Jacek A. Kopec;Philippe Finès;Michael C. Wolfson
Author_Institution :
McGill University, 1140 Pine Ave. West, H3A 1A3 Montreal, QC, Canada
fYear :
2012
Firstpage :
1
Lastpage :
12
Abstract :
Simulation modeling of population health is being used increasingly for epidemiology research and public health policy-making. However, the impact of population health simulation models is inhibited by their complexity and the lack of established standards to describe these models. To address this issue, we are developing the Ontology for Simulation Modeling of Population Health (SimPHO) - a formal, explicit, computer-readable approach to describing population health simulation models. SimPHO builds on previous work to classify and formally represent knowledge about simulation models, and incorporates the semantics of the epidemiology and public health domains. SimPHO will allow model developers to make explicit their assumptions, to describe their models in a formal, consistent and interoperable manner, and to facilitate model reuse and integration. To illustrate the use of SimPHO, we describe one software application driven by this ontology, an automated visualization tool for generating interactive web-based diagrams of population health simulation models.
Keywords :
"Biological system modeling","Ontologies","Sociology","Statistics","Computational modeling","Standards","Public healthcare"
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2012 Winter
ISSN :
0891-7736
Print_ISBN :
978-1-4673-4779-2
Type :
conf
DOI :
10.1109/WSC.2012.6465128
Filename :
6465128
Link To Document :
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