Open Access
ARTICLE
Application of the DRGs and the Fuzzy Demand in the Medical Service Resource Allocation Based on the Data Mining Algorithm
Fanxiu Dong*
Xinjiang Medical University, Xinjiang 830000, China
Address: Medical Record Management Office, Xinjiang Uygur Municipality People’s Hospital, 91 Tianchi Road, Tianshan District, Urumqi, Xinjiang, 830001
* Corresponding Author: Fanxiu Dong,
Intelligent Automation & Soft Computing 2020, 26(3), 617-624. https://doi.org/10.32604/iasc.2020.013940
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.
Keywords
Cite This Article
F. Dong, "Application of the drgs and the fuzzy demand in the medical service resource allocation based on the data mining algorithm,"
Intelligent Automation & Soft Computing, vol. 26, no.3, pp. 617–624, 2020.
Citations