Title :
Framework of telemedicine diagnosis decision-making with Bayesian network based on Multi-Agent system
Author :
Wang, Ying ; Cao, Jianguo ; Liu, Lin ; Feng, Kai ; Hong, Shuyi ; Xi, Bin
Author_Institution :
Dept. of Autom., Xiamen Univ. Xiamen, Xiamen, China
Abstract :
Telemedicine has launched among many countries around the world. This paper presents a framework of telemedicine diagnosis decision. Here our frame is based on Multi-Agent system and Bayesian network. The system is composed of several groups of agents providing a flexible, applicable analysis and diagnosis environment. Diagnosis decision-making is built on a network model basing on probability analysis of several physiological indices of disease.
Keywords :
Bayes methods; medical computing; multi-agent systems; patient diagnosis; telemedicine; Bayesian network; multi-agent system; network model; physiological indices; probability analysis; telemedicine diagnosis decision-making; Bayesian methods; Biomedical monitoring; Decision making; Diseases; Medical diagnostic imaging; Telemedicine; Bayesian Network; Decision-Making; Multi-Agent system; Telemedicine;
Conference_Titel :
Computer Science & Education (ICCSE), 2012 7th International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-0241-8
DOI :
10.1109/ICCSE.2012.6295028
