DocumentCode :
2524980
Title :
The Multiplicity of Intelligent Agent Based Healthcare Sensor Decision Network
Author :
Dai, Zhifeng ; Sun, Baolin ; Zhang, Qifei
Author_Institution :
Sch. of Comput., Hubei Univ. of Econ., Wuhan, China
fYear :
2009
fDate :
11-13 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
With the emerging awareness of health care, this paper addresses the challenging research issue of healthcare sensor decision. On light of the technology combination of WSN, MAS and RST, and its contribution to the framework of healthcare sensor decision network, this work further studies the multiplicity of intelligent agent based healthcare sensor decision network, and proposes the hierarchical model DHMASDN and its corresponding agent layer built healthcare sensor decision network, attribute layer built healthcare sensor decision network and rule layer built healthcare sensor decision network. Furthermore, the tutorial algorithm and results are also given based on rule layer built healthcare sensor decision network. And as expected, the presented model, algorithm and illustrative results are demonstrated to be more helpful to enhance the integrality and reliability of healthcare sensor decision network than those of previous related works.
Keywords :
health care; hierarchical systems; intelligent sensors; multi-agent systems; reliability; rough set theory; wireless sensor networks; agent layer built; healthcare sensor decision network; hierarchical model; integrality; intelligent agent; multiagent system; multiplicity; reliability; rough set theory; rule layer built; wireless sensor network; Computer networks; Diseases; Intelligent agent; Intelligent networks; Intelligent sensors; Medical services; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
Type :
conf
DOI :
10.1109/ICBBE.2009.5163634
Filename :
5163634
Link To Document :
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