摘要
从使用计算机辅助中医诊断症状组合复杂的疾病应用出发,采用关联规则挖掘解决验证和更新疑难疾病诊断标准的问题.然后,结合规则模板的概念,提出一种受限的带复合项的关联规则挖掘算法,使之能较好地适应中医辅助诊断应用.
In diseases diagnosis of the traditional Chinese medicine the symptoms am various and comphcated. The computer- aided diagnosing and data mining techniques am used to help herbalist doctors verify and update diagnostic standards of complex diseases. The concept of rule＇s templates is introduced and an algorithm of mining restrained association rules with composite items is proposed to fit the applications of computer - aided diagnosing for the traditional Chinese medicine.
出处
《暨南大学学报（自然科学与医学版）》
CAS
CSCD
北大核心
2005年第3期337-340,349,共5页
Journal of Jinan University(Natural Science & Medicine Edition)
基金
国家自然科学基金(90209004)重点资助项目
广东省自然科学基金(021149)资助项目
关键词
关联规则挖掘
复合项
中医辅助诊断
mining association rules
composite items
computer-aided diagnosing traditional Chinese medicine
