摘要
近年来,数据挖掘技术在中医研究中广泛运用,文章现就因子分析、聚类、支持向量机、神经网络、决策树、关联分析等数据挖掘技术在高血压中医症状及证候、方剂配伍研究、古今医案研究、用药规律研究、针灸治疗取穴规律等方面的运用作一综述。
In recent years, data mining technology has been widely used in the study of traditional Chinese medicine, this paper reviews the application of data mining techniques such as clustering, support vector machine, neural network, decision tree and association analysis in TCM symptoms and syndromes of hypertension, research on compatibility of prescriptions, ancient and modern medical records, research on law of medication and law of acupoint selection in acupuncture treatment.
出处
《大众科技》
2020年第9期91-94,共4页
Popular Science & Technology
基金
上海市青浦区科技发展基金项目(NO:QKY2017-09)。
关键词
高血压病
中医诊疗
数据挖掘
hypertension
traditional Chinese medicine diagnosis and treatment
data mining
