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作 者:喻明[1,2] 曹琦琛[1] 苏玉茜[1] 隋鑫[1] 杨洪军[3] 黄璐琦[3] 王文萍[1]
机构地区:[1]辽宁中医药大学,辽宁沈阳110032 [2]辽宁中医药大学附属医院,辽宁沈阳110032 [3]中国中医科学院中药资源中心,北京100700
出 处:《中国中药杂志》2015年第15期3110-3114,共5页China Journal of Chinese Materia Medica
基 金:国家"重大新药创制"科技重大专项(2010ZX09102);沈阳市中医治法与外治中药创制实验室建设项目(F12-262-1-00)
摘 要:恶性肿瘤是目前全世界的主要死亡原因之一,已经成为严重危害人类生命健康、制约社会经济发展的一大类疾病。当前报道中药治疗肿瘤的各类成方、验方、自拟方等种类繁多,且分析方剂组方规律常常以用药频次为基础,该类方法适用于发现显性经验,难以有创新性发现与认识。该文基于中医传承辅助系统采用软件集成的改进互信息法、复杂系统熵聚类、无监督的熵层次聚类等无监督数据挖掘方法,分析中医治疗肿瘤方剂的组方规律。筛选出114个处方进行分析,确定处方中药物出现的频次,演化得到核心组合85个、新处方13个。中医传承辅助系统可实现对方剂数据的录入、管理、查询和分析,是一个有价值的中医药研究辅助工具。Malignant tumor is one of the main causes for death in the world at present as well as a major disease seriously harming human health and life and restricting the social and economic development. There are many kinds of reports about traditional Chinese medicine patent prescriptions,empirical prescriptions and self-made prescriptions treating cancer,and prescription rules were often analyzed based on medication frequency. Such methods were applicable for discovering dominant experience but hard to have an innovative discovery and knowledge. In this paper,based on the traditional Chinese medicine inheritance assistance system,the software integration of mutual information improvement method,complex system entropy clustering and unsupervised entropy-level clustering data mining methods was adopted to analyze the rules of traditional Chinese medicine prescriptions for cancer. Totally 114 prescriptions were selected,the frequency of herbs in prescription was determined,and 85 core combinations and 13 new prescriptions were indentified.The traditional Chinese medicine inheritance assistance system,as a valuable traditional Chinese medicine research-supporting tool,can be used to record,manage,inquire and analyze prescription data.
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