通讯作者: 叶益平, 352538912@qq.com

DOI：10.12201/bmr.202407.00030

Study on the regularity of medication of Director Ye Yiping in the treatment of lung cancer based on data mining methods

• 摘要：目的 基于中医传承辅助平台(V2.5),深层次挖掘叶益平治疗肺癌的用药规律。方法 收集2022年1月1日至2023年9月30日在丽水市中医院叶益平门诊治疗肺癌患者完整医案200例,录入中医传承辅助平台(V2.5),采用软件的关联规则分析、聚类分析等方法分析叶益平治疗肺癌的用药规律。结果 搜集得到医案200例,记录200首处方,涉及146味中药；所用药物的药性以寒、温、平为主,药味以甘、苦、辛为主,主要归肺、脾、胃、心经；使用频次居前28味的中药依次为羊乳、甘草、丹参、姜半夏、猫人参、浙贝母、茯苓、焦六神曲、石见穿等,得到核心药物组合27组,新方5个。结论 以中医传承辅助系统为平台,应用数据挖掘方法可更深入地挖掘了叶益平治疗肺癌用药规律,临证辨治紧扣肺癌“阴虚瘀毒”核心病机,同时顾护后天脾胃、心身同调,体现了扶正抗癌及中医整体观的中医肿瘤学术思想。

  关键词： 数据挖掘；中医传承辅助平台；肺癌；用药规律；叶益平; 

   

  Abstract: Objective To explore the medication rule of Ye Yiping in the treatment of lung cancer based on TCM inheritance assistance platform (V2.5).Methods From January 1, 2022 to September 30, 2023, 200 complete medical records of patients with lung cancer treated in Ye Yipings outpatient department of Lishui Hospital of Traditional Chinese Medicine were collected and input into the Traditional Chinese Medicine inheritance assistance platform (V2.5). Association rule analysis, cluster analysis and other methods of software were used to analyze Ye Yipings drug use in the treatment of lung cancer.Results 200 medical records were collected and 200 prescriptions were recorded, involving 146 TCM. The medicinal properties of the drugs used are mainly cold, warm and flat, and the taste is mainly sweet, bitter and xin, which mainly belong to lung, spleen, stomach and heart channel. The top 28 Chinese herbs used frequently were goat milk, licorice, salvia miltiorrhiza, ginger pinellia, cat ginseng, Zhejiang Fritillaria, Poria cocos, Jiao Liushenqu, Shi Jianhuan, etc. 27 groups of core drug combinations and 5 new prescriptions were obtained.Conclusion With the TCM inheritance assistance system as the platform, the application of data mining method can further explore the drug use law of Ye Yiping in the treatment of lung cancer. The clinical diagnosis and treatment are closely related to the core pathogenesis of Yin deficiency and stasis toxicity of lung cancer, and at the same time, the acquired spleen and stomach, mind-body harmony are taken care of, which reflects the academic thought of TCM tumor of supporting the right anti-cancer and the holistic view of TCM.

  Key words: data mining；TCM Inheritance Support Platform System；lung cancer; regularity of medication；Ye Yiping

  提交时间：2024-07-15

  版权声明：作者本人独立拥有该论文的版权，预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
• html

• 图表

• 李昱, 杨涛, 胡孔法. 基于层次社团划分算法的名老中医治疗肺癌的用药规律研究. 2021. doi: 10.12201/bmr.202110.00020

  洪天琪, 杨笑亚, 张慧燕, 葛凯莉, 薛洋洋, 魏春山. 基于数据挖掘和网络药理学探析肝癌的用药规律及作用机制. 2024. doi: 10.12201/bmr.202407.00040

  杨俊杰, 栗梦凡, 张霖, 张益伟. 基于数据挖掘分析梁晖教授治疗失眠用药规律及机制探讨. 2024. doi: 10.12201/bmr.202410.00039

  郑健. 基于药性理论探讨中医药辨治无瘤康复阶段肺癌的组方用药规律. 2024. doi: 10.12201/bmr.202407.00004

  黄昱诚, 杨旭明, 乔琼. 基于数据挖掘的乳腺癌复发因素预测模型构建. 2020. doi: 10.12201/bmr.202009.00011

  吕艳华, 王康龙, 钟小云, 陈俊冶. 基于文本挖掘的互联网医疗平台用户画像模型构建 ——以自闭症疾病问诊数据为例. 2023. doi: 10.12201/bmr.202312.00012

  张冬云, 李晨程, 殷策, 张云秋. 基于数据挖掘的临床智能决策技术分析*. 2024. doi: 10.12201/bmr.202402.00009

  高瞻, 高艳, 韩玖阳, 赵亮. 以诊疗数据挖掘为指导的三甲医院发展策略研究. 2021. doi: 10.12201/bmr.202105.00006

  顾耀文, 李姣. 基于无监督深度学习的电子健康档案数据挖掘技术研究进展. 2021. doi: 10.12201/bmr.202104.00013

  徐晓巍, 郭海红, 李姣. 面向公众健康问句分类数据挖掘算法评测研究. 2021. doi: 10.12201/bmr.202101.00018

• 序号	提交日期	编号	操作
  1	2024-05-23	bmr.202407.00030V1	下载

• 公开评论  匿名评论  仅发给作者 提交评论