贺菊乔教授治疗男性不育症用药经验的数据挖掘

Data Mining for the Treatment of Male Infertility Medicine Experience by Professor He Juqiao

目的研究贺菊乔教授治疗男性不育症的用药经验。方法收集贺教授治疗的229例男性不育症患者,共计1 553诊次的处方资料,采用数据挖掘软件对其进行统计和关联分析。结果分析出有关各味中药的使用频次、功效归类及两味中药的关联情况,获取了贺教授治疗男性不育症的常用药物和药对组合。结论数据挖据技术的分析结果,充分体现了贺教授以生精之法为主,辅以固精、通精之法论治男性不育症的用药特色,对提高中医治疗男性不育症的临床疗效大有裨益。

Objective To research the medicine experience of professor He Juqiao for the treatment of male infertility. Methods We collected 1553 pieces of clinical prescription data of 229 male infertility patients＇ cases, used SPSS 17.0 and Clem entine 12.0 mining software to statis tics and analyze professor＇s academic experience for the treatment of male infertility. Results After analyzing about the frequency of every traditional Chinese medicine＇s usage, efficacy, and association, we succeed to find the drugs of professor＇s commonly usage and combination for the treat ment of male infertility. Conclusion The analysis of the data mining technology give full expres sion to professor He＇s drug using characteristics of treatment of male infertility such as sperm production given complem entary with secure essence to improve the clinical curative effect of TCM treatment of male infertility.