Vol.26, No.3, 2020, pp.617-624, doi:10.32604/iasc.2020.013940
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, 422637858@qq.com
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
DRGs; data mining; fuzzy demand; resource allocation.
Cite This Article
Dong, F. (2020). Application of the DRGs and the Fuzzy Demand in the Medical Service Resource Allocation Based on the Data Mining Algorithm. Intelligent Automation & Soft Computing, 26(3), 617–624.
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