@Article{iasc.2020.013940,
AUTHOR = {Fanxiu Dong},
TITLE = {Application of the DRGs and the Fuzzy Demand in the Medical Service Resource Allocation Based on the Data Mining Algorithm},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {3},
PAGES = {617--624},
URL = {http://www.techscience.com/iasc/v26n3/40021},
ISSN = {2326-005X},
ABSTRACT = {At present, the allocation of the medical service resources is directed at a single service 
resource, and there are many unreasonable problems, which causes medical cost to be 
high. Based on this, the application of the DRGs and the fuzzy demand in the medical 
service resource allocation based on the data mining algorithm is proposed. The
application research of the DRGs and the data mining algorithm is simply analyzed, 
then the uncertain demand estimation is applied to the fuzzy demand processing based 
on the fuzzy demand theory and the medical service resources are configured under 
the established demand satisfaction rate. Through the example analysis, it is proven 
that the proposed algorithm has higher reliability, and the optimal allocation of 
resources can greatly reduce the total medical cost and confirm the feasibility of the 
resource optimization.},
DOI = {10.32604/iasc.2020.013940}
}