Title :
A model of intelligent distributed medical diagnosis and therapy system based on mobile agent and ontology
Author :
Zhao, Wu ; Yanxiang, He ; Hui, Jin
Abstract :
In order to build an open, large-scale and interoperable distributed intelligent medical diagnosis and therapy system in the context of a wide-area network such as the Internet, this paper studies integrating mobile agent and ontology with Web Services. A model (called DMDTMAO: distributed medical diagnosis and therapy based on mobile agent and ontology) for this goal is proposed. This paper describes the architecture of the DMDTMAO model and how to integrate mobile agent and ontology with Web services within the DMDTMAO model. Employing agent enables the DMDTMAO model to re-configure system according to existing available services and actual needs. Mobile agent relieves the influence of transport delay in wide-area network. Using ontology as a standard Web service, it avoids misunderstandings in agent communication. Furthermore, it assures the correctness of matching agent services according to semantics accurately in service register server like the UDDI registry. A simulation based on JADEtrade, a Java-compliant mobile agent platform from TILab, demonstrated the feasibility of this model. Preliminary experimental results indicated that the DMDTMAO model is flexible, robust and re-configurable
Keywords :
Internet; Java; medical computing; mobile agents; ontologies (artificial intelligence); patient diagnosis; wide area networks; DMDTMAO; Internet; JADE; Java-compliant mobile agent platform; TILab; UDDI registry; Web services; agent communication; distributed medical diagnosis and therapy based on mobile agent and ontology; wide-area network; Context-aware services; IP networks; Intelligent agent; Intelligent networks; Large scale integration; Medical diagnosis; Medical treatment; Mobile agents; Ontologies; Web services;
Conference_Titel :
High-Performance Computing in Asia-Pacific Region, 2005. Proceedings. Eighth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2486-9
DOI :
10.1109/HPCASIA.2005.6