摘要
随着医院信息系统(Hosp ital Inform ation System,H IS)在医院的广泛应用,特别是数字新技术在门诊系统中的广泛应用,医学数据挖掘提高了医院信息管理水平,为疾病的诊断和治疗提供了科学的、准确的决策.本文使用关联规则中的Apriori算法挖掘医院病人的就诊资料,并且归纳出症状及疾病间之关联规则,并探讨其在医疗信息系统的应用.
With the widely application in hospital of Hospital Information System, especially the widely application in clinic system of the new digital technology,data mining on medicine becomes necessary for improving the information management level in the hospital and providing scientific decision making for the diagnosis and the treatment of the diseases. In this paper, the algorithm apriori of the association rules is used to extract useful knowledge and generalize the association rules about the symptoms and the disease and explore its application in the Hospital Information System.
出处
《安徽大学学报（自然科学版）》
CAS
北大核心
2006年第2期21-25,共5页
Journal of Anhui University(Natural Science Edition)
关键词
数据挖掘
算法
关联规则
医学信息
频繁项集
data mining
algorithm
association rules
medical information
frequent itemsets
