摘要
探讨数据挖掘技术在亚健康状态研究中的应用。主要结合以下3个方面:证候分布、症状构成、症状对证候诊断的贡献率;亚健康状态与证候之间、症状与证候之间、证候与证候之间的关系;亚健康状态及其证候与相关性指标之间的关系,并提出应统一分析宏观资料和微观指标,以便对亚健康状态的证候机理进行深入研究。
The application of data mining in the research of subhealth status was discussed in the paper from following three points： syndrome distribution,symptom constructure and contribution rate of symptom to syndrome diagnosis;relationship between subhealth status and syndromes,symptoms and syndromes,and syndromes and syndromes;relationship between subhealth status and its syndromes and relevant indexes.The author thought that the macroscopic materials and microscopic indexes should be analysed as a whole in order to study deeply the syndrome mechanism of subhealth status.
出处
《北京中医药大学学报》
CAS
CSCD
北大核心
2010年第9期585-587,627,共4页
Journal of Beijing University of Traditional Chinese Medicine
基金
国家高技术研究发展计划(863计划)项目(No.2008AA02Z406)
关键词
亚健康状态
数据挖掘
微观指标
宏观资料
subhealth status
data mining
microscopic indexes
macroscopic data
