从医院整体角度出发,对某医院的医疗费用数据进行筛选整理,基于优化模型的K-means聚类算法,对数据进行挖掘,研究患者年龄、住院天数与费用之间的关系,找出住院医疗费用数据的变化规律与规则知识。其结果可为医院加强管理提供决策信息,为医疗行政部门对医疗机构的费用管理的监控和政府制定卫生政策提供参考。 From the perspective of the hospital as a whole, the medical expenses data of a hospital are screened and sorted out. Based on the K-means clustering algorithm of the optimized model, the data are excavated to study the relationship between patient’s age, hospitalization days and expenses, Expenses data changes and rules of knowledge. The results can provide decision-making information for strengthening the management of the hospital, providing reference for the medical administration to monitor the cost management of medical institutions and the government to formulate health policies.