关联规则在脑科电子病历挖掘中的应用

Application of Association Rules in Data Mining for Brain Electronic Medical Records

利用基于关联规则的数据挖掘技术,对广东三九脑科医院电子病历数据进行挖掘分析,随机抽取癫痫病种住院病历资料,尝试找出癫痫病种的病因构成。结果显示采用经典关联规则Apriori算法能够获取有效的病因构成,为临床诊断和科研应用提供帮助,达到数据利用的目的。

Using data mining technology based on association rules, the paper carries out data mining analysis on electronic medical records in Guangzhou 999 hospital. It selects hospital medical records of epilepsy randomly, tries to find out the causes of epilepsy. The result shows that we can get effective causes using Apriori algorithm, which is a classical association rule, so as to provide help for clinical diagnosis and scientific research, make full use of the data.