期刊文献+

基于数据挖掘探讨胡国华治疗卵巢储备功能减退用药规律

Exploration on the medication law of Hu Guohua in treating diminished ovarian reserve based on data mining
原文传递
导出
摘要 目的基于数据挖掘方法探讨胡国华教授治疗卵巢储备功能减退(DOR)的用药规律及学术思想。方法收集2021年1月1日-2022年3月31日胡教授诊治DOR患者的病历资料,应用中医传承计算平台V3.0软件对患者的中医症状及舌脉象,以及中药的频次、性味归经和功效类别进行频次分析,并进行常用药物组合分析、高频药物网络关系分析、基于Apriori算法的关联规则分析,以及基于K均值(K-means)聚类算法的聚类分析,归纳核心处方。结果纳入患者85例,得到中医症状76个、舌象15个、脉象11个;涉及处方415首,包括中药164味,主要有女贞子、当归、黄芪、菟丝子、益母草、白术等,药性以温、平、寒为主,药味以甘、苦、辛为主,归经多入肝、脾、肾经。分析得到高频药物组合42个、核心处方6个。结论胡教授治疗DOR总以补肾健脾以调体、疏利冲任以调经、疏肝宁心以调神为纲;用药轻巧精专,善用药对;处方从合守变,以平为期。 Objective To explore the medication law and academic thought of Professor Hu Guohua in treating diminished ovarian reserve(DOR)based on data mining.Methods Collecting the medical records of DOR patients treated by Prof.Hu from January 1,2021 to March 31,2022.The TCM symptoms,tongue and pulse conditions,as well as the frequency,taste,meridian tropism and efficacy categories of TCM were analyzed by using the Traditional Chinese Medicine Inheritance Computing Platform V3.0 software.Commonly used drug combination analysis,high-frequency drug network relationship analysis,association rule analysis based on Apriori algorithm,cluster analysis based on K-means clustering algorithm,and core prescriptions were summarized.Results A total of 85 DOR patients were included,involving 76 TCM symptoms,15 tongue images,11 pulse images.A total of 415 prescriptions were included,involving 164 kinds of Chinese materia medica.High-frequency drugs included Ligustri Lucidi Fructus,Angelicae Sinensis Radix,Astragali Radix,Cuscutae Semen,Herba Leonuri and Rhizoma Atractylodis Macrocephalae.The medicines were mostly warm,mild and cold in property,and the tastes were mostly sweet,bitter and pungent,mainly belonging to the liver,spleen and kidney meridians.42 high-frequency drug combinations and 6 core prescriptions were obtained.Conclusions Professor Hu treats DOR with the principle of tonifying the kidney and spleen to regulate body constitution,conditioning Chong Vessel and Conception Vessel to regulate the menstruation,soothing the liver and tranquillizing the heart to regulate the spirit.Professor Hu selects the medicines which are simplified and condensed,and is good at using drugs.The prescriptions are persistent and flexible,concerning the balance.
作者 王佳云 黄家宓 陈静 万怡婷 胡国华 Wang Jiayun;Huang Jiami;Chen Jing;Wan Yiting;Hu Guohua(Shanghai University of Traditional Chinese Medicine,Shanghai 201203,China;Department of Gynaecology,Municipal Hospital of Traditional Chinese Medicine Affiliated to Shanghai University of Traditional Chinese Medicine,Shanghai 200071,China)
出处 《国际中医中药杂志》 2023年第11期1435-1440,共6页 International Journal of Traditional Chinese Medicine
基金 上海市2020年度“科技创新行动计划”医学创新研究专项项目(20Z21900400) 全国名老中医药专家传承工作室建设项目(MLZJGZS-2017003) 上海中医药大学预算内项目(2021LK069) 上海市中医医院未来计划项目(WLJH2021ZY-ZLZX002)。
关键词 卵巢储备 胡国华 学术思想 数据挖掘 用药规律 中医传承计算平台 Ovarian reserve Hu Guohua Academic thought Data mining Medication law Traditional Chinese Medicine Inheritance Computing Platform
  • 相关文献

参考文献10

二级参考文献128

共引文献342

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部