基于Apriori算法的医疗废物现场监督检查指标关联性研究

Reach on correlation of inspection indexes based on Apriori algorithm

目的研究上海市医疗废物监督工作检查指标之间的关联性,为现场监督工作提供一个实时提示模型。方法运用数据挖掘中的Apriori算法,以医疗废物现场监督记录为对象,计算检查指标之间的支持度和置信度。结果医疗废物监督专业共设置检查指标83个,计算得到指标之间的强关联规则9组。结论应用检查指标之间的关联性,能够优化现场监督工作模式。

Objective To study the correlation between the inspection indexes of medical waste management,to pro?vide a fore-warming model for on-site supervision.Methods This essay utilized the Apriori algorithm in data mining to cal?culate the support level and confidence level between each two indexes.Results We got 9 associated rules,using 83 index?es of medical waste management.Conclusion The correlation between those inspection indexes can help us to optimize su?pervision and management mode.