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