摘要
目的:对治疗癌性疼痛中药进行分类。方法:对口服(25味)和外用(19味)治疗癌性疼痛的常见中药,通过SPSS 11.5统计软件建立数据库,收录药物的性味归经及功效,将之作为能反映分类特征的变量,并将药物名称作为测量的变量,进行分层聚类中的Q型聚类。结果:治疗癌性疼痛的中药大多性温平,味辛苦,归肝脾经,具有清热解毒、活血消肿止痛的功效。结论:运用聚类分析法,能较好地将药物归类,并根据这一类药物作用趋势对临床治疗进行指导。
Objective： To classify the herbs for the treatment of cancer pain. Method： Database of 25 commonly used herbs for was established by means of SPSS 11.5 software package; and the nature, tastes, meridian attributions and actions of the herbs were collected as variables showing the characteristics of classification, and the names of the herbs served as variables for measurement to proceed Q Cluster in Hierarchical Cluster. Result： The characteristic of the herb for the treatment of cancer pain is pungent, bitter, warm and the correspondent channels are liver and spleen. They can clear heat and detoxify, activate blood to relieve pain. Conclusion： Fuzzy grouping analysis can be applied to classify herbs, and can be guiding the clinical medication.
出处
《中国实验方剂学杂志》
CAS
北大核心
2012年第23期1-4,共4页
Chinese Journal of Experimental Traditional Medical Formulae
基金
"十一五"重大新药创制项目--中药新型给药系统技术平台(2008ZX09310-005)
南昌市科技计划项目(洪科发计字〔2010〕95号)
关键词
癌性疼痛
聚类分析
量化
分类
cancer pain
fuzzy grouping analysis
quantitative
classification
