Title :
Ontology-Based Semi-automatic Construction of Bayesian Network Models for Diagnosing Diseases in E-health Applications
Author :
Jeon, Beom-Jun ; Ko, In-Young
Author_Institution :
Inf. & Commun. Univ., Seoul
Abstract :
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.
Keywords :
belief networks; cancer; medical computing; ontologies (artificial intelligence); patient diagnosis; tumours; Bayesian network models; cause-and-effect relationships; diagnosing diseases; domain knowledge; e-health applications; meta-model nodes; ontology-based semiautomatic construction; probabilistic methods; Bayesian methods; Bioinformatics; Diseases; Information technology; Ontologies;
Conference_Titel :
Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
Conference_Location :
Jeju City
Print_ISBN :
978-0-7695-2999-8
DOI :
10.1109/FBIT.2007.63
