基于数据挖掘探析古代针灸治疗功能性消化不良的选穴特点  

Data Mining-Based Study on Characteristics of Acupoints Selection on Ancient Acupuncture Treatment of Functional Dyspepsia

作　　者：任玉兰[1] 赵凌[1] 刘迈兰[1] 梁繁荣[1] 

机构地区：[1]成都中医药大学,四川成都610075

出　　处：《辽宁中医杂志》2009年第2期259-262,共4页Liaoning Journal of Traditional Chinese Medicine

基　　金：国家重点基础研究发展计划(2006CB504501);四川省科技厅项目(2007SGY008)

摘　　要：目的:运用数据挖掘技术分析古代针灸治疗功能性消化不良的经穴使用特点和规律。方法:在收集针灸治疗FD的古代文献基础上,建立针灸处方数据库,主要采用数据挖掘技术中的关联规则方法,分析古代针灸治疗FD的经穴运用特点和规律。结果:通过数据挖掘分析,提炼出针灸治疗FD的常用腧穴与腧穴配伍、腧穴分部规律以及经络、特定穴运用规律。结论:数据挖掘方法运用于针灸经穴运用特点和规律的分析是可行的,结果分析反映循经取穴是古代针灸治疗FD选穴基础,特定穴是处方的组成主要部分。Objective ： Data mining was applied to investigate the characteristics and rifles of acupoints selection in ancient acupuncture literature on functional dyspepsia. Methods ： We established Acupuncture Prescription Database through collecting ancient acupuncture literature on therapy of functional dyspepsia （FD）. The characteristics and rules of acupoints selection were investigated by means of association ride mining method. Results ： After data mining - based analysis on acupuncture therapy of FD we have discovered the frequently used acupoints, combined use rule of acupoints, distribution rule of acupoints, as well as the rules of meridians and special points selection. Conclusion：It is feasible to investigate characteristics and rules of acupoints selection by means of data mining. And the results revealed that ancient acupuncture therapies of FD took acupoints selection along diseased meridian as the basis of selecting acupoints and the special points as the major component of prescriptions.

关 键 词：消化不良 针灸疗法 选穴 自动数据处理 

分 类 号：R246.1[医药卫生—针灸推拿学]