摘要
克服目前中医证候规律研究中普遍存在的技术单一和临床专家对挖掘结果评估权不足的问题。在国家"十五"课题研究所取得的成果数据库基础上,采用设计的封装多种挖掘算法、能给用户提供算法参数值与约束条件修改权的半开放式挖掘模型组,进行绝经综合征的中医症状与中医证候关系规则的挖掘研究。以此挖掘出与临床结论基本一致的关系规则,使其能够为广大临床医生提供证治指导服务。
Solution to the problem of that the most of the models is based on single data mining algorithm and clinician of TCM gynecology evaluated error with dataming result in research for Regulation of TCM . Based on the data obtained from the key project ＂Research for Female＇s Menopause Syndrome Regulation of TCM＂ of the National Programs for Science and Technology Development during the 10th Five-Year Plan Period, research on data mining for menopause syndrome regulation of TCM. the model groups of semi open data mining is used, which is a component library sealing various data mining algorithms, with the function of mining algorithm parameters adjusting and constraint conditions setting. Using the improved association principles, the relationship between various kinds of symptoms and syndromes can be discover. Using methods based on rough sets, the relation principles discovered can be compressed and abstracted , discover the relation principle accordant with the clinic conclusions and save them to the TCM regulation database. Hence, it is possible to provide online remote syndrome diagnosis assistance.
出处
《科学技术与工程》
2008年第15期4384-4388,共5页
Science Technology and Engineering
基金
广东省2007年科技攻关项目(2007B031402002)资助
关键词
绝经综合征
半开放式挖掘模型组
中医证治规则
female＇s menopause syndrome the model groups of semi open data mining regulation of TCM
