loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2007 Frontiers in the Convergence of Bioscience and Information Technologies
Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications
Jeju Island, Korea
October 11-October 13
ISBN: 978-0-7695-2999-8
ASCII Text
x 
 
Beom-Jun Jeon, In-Young Ko, "Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications," Frontiers in the Convergence of Bioscience and Information Technologies, pp. 595-602, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007.
 
 
BibTex
x
 
@article{ 10.1109/FBIT.2007.63,
author = {Beom-Jun Jeon and In-Young Ko},
title = {Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications},
journal ={Frontiers in the Convergence of Bioscience and Information Technologies},
volume = {0},
year = {2007},
isbn = {978-0-7695-2999-8},
pages = {595-602},
doi = {http://doi.ieeecomputersociety.org/10.1109/FBIT.2007.63},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Frontiers in the Convergence of Bioscience and Information Technologies
TI - Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications
SN - 978-0-7695-2999-8
SP595
EP602
A1 - Beom-Jun Jeon,
A1 - In-Young Ko,
PY - 2007
VL - 0
JA - Frontiers in the Convergence of Bioscience and Information Technologies
ER -
 
Bayesian network (BN) is one of the popular probabilistic methods of diagnosing diseases in e-health applications. However, it is normally a complex task to construct a BN for diagnosing a specific disease by collecting and analyzing domain knowledge. We propose a semi-automatic way of constructing BNs for diagnosing diseases. Our method automatically generates nodes in a BN out of e-health ontology, and allows developers to easily establish links among nodes based on a meta-model that represents cause-and-effect relationships among ontologies.
Citation:
Beom-Jun Jeon, In-Young Ko, "Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications," fbit, pp.595-602, 2007 Frontiers in the Convergence of Bioscience and Information Technologies, 2007
Usage of this product signifies your acceptance of the Terms of Use.