DocumentCode :
552443
Title :
The minimum risk Bayesian decision based on the distributed Bayesian rough set model and its applications in the management of Traditional Chinese Medicine Injections
Author :
Jia, Hal ; Ge, Bin ; Li, Wei ; Yuan, Ji-Yong ; Zhang, Jian-xin
Author_Institution :
Dept. of Pharmacy, People´´s Hosp. of Gansu Province, Lanzhou, China
Volume :
1
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
297
Lastpage :
301
Abstract :
Based on the concept of distributed Bayesian rough set model proposed in this paper, the reliability rules and the minimum risk function are obtained. By means of the minimum risk Bayesian decision, the classification rules for a new TCMI (Traditional Chinese Medicine Injection) are proposed.
Keywords :
Bayes methods; decision theory; health care; pattern classification; reliability theory; risk management; rough set theory; TCMI; classification rules; distributed Bayesian rough set model; minimum risk Bayesian decision; minimum risk function; reliability rules; traditional Chinese medicine injection management; Bayesian methods; Distributed databases; Electric shock; Bayesian decision; Chinese Medicine Injection; Rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6016673
Filename :
6016673
Link To Document :
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