Study on Fan Zhongze’s medication rule in treating colon cancer based on data mining

SHI Xiaolan; PAN Shufang; YU Wenqi; LIANG Shanghua; Instructor

doi:10.16305/j.1007-1334.2018.11.005

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Study on Fan Zhongze’s medication rule in treating colon cancer based on data mining

更新时间：2022-08-31

- Study on Fan Zhongze’s medication rule in treating colon cancer based on data mining
- Shanghai Journal of Traditional Chinese Medicine Vol. 52, Issue 11, Pages: 19-23(2018)
- 作者机构：
  
  1. 上海中医药大学附属普陀医院中医肿瘤科,上海,200062
  2. 上海中医药大学附属普陀医院综合一科,上海,200062
  3. 上海中医药大学中医文献研究所,上海,201203
- 作者简介：
- 基金信息：
- DOI：10.16305/j.1007-1334.2018.11.005
  CLC：
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SHI Xiaolan, PAN Shufang, YU Wenqi, et al. Study on Fan Zhongze’s medication rule in treating colon cancer based on data mining. [J]. Shanghai Journal of Traditional Chinese Medicine 52(11):19-23(2018)
DOI：

SHI Xiaolan, PAN Shufang, YU Wenqi, et al. Study on Fan Zhongze’s medication rule in treating colon cancer based on data mining. [J]. Shanghai Journal of Traditional Chinese Medicine 52(11):19-23(2018) DOI： 10.16305/j.1007-1334.2018.11.005.

摘要

目的：借助“中医处方辨证论治特征分析及数据挖掘软件”,采用数据挖掘方法总结范忠泽教授治疗大肠癌的处方用药规律。方法：收集范忠泽教授治疗大肠癌的门诊处方,运用“中医处方辨证论治特征分析及数据挖掘软件”中的药物频次统计及关联规则等方法,挖掘其中的用药规律和组方特点。结果：①本研究共纳入病例212例,处方762首；其中高频次使用的药物有茯苓、白术、半枝莲、黄芪、野葡萄藤、党参等16味,高频药对有茯苓-白术、茯苓-半枝莲、半枝莲-黄芪等32对,3味药物组有茯苓-半枝莲-黄芪、茯苓-白术-黄芪、白术-半枝莲-黄芪等23组,4味药物组有茯苓-白术-半枝莲-黄芪、茯苓-白术-黄芪-党参、茯苓-半枝莲-黄芪-党参等17组。结论：总结出范忠泽教授治疗大肠癌的16味高频用药,32个常用药对,23个3味药组,17个4味药组；数据挖掘方法可用于名老中医经验的研究。

Abstract

Objective:To summarize Professor Fan Zhongze’s medication rule of prescriptions in treating colon cancer by means of data mining based on “feature analysis and data mining software for TCM prescriptions in syndrome differentiation and treatment”. MethodsProfessor Fan Zhongze’s outpatient prescriptions for colon cancer were collected, and the medication rule and prescription characteristics were analyzed by data frequency statistics and association rules in “feature analysis and data mining software for TCM prescriptions in syndrome differentiation and treatment”. Results:①A total of 212 cases were included in this study, and 762 prescriptions were used. Among them, there were 16 drugs used in high frequency, such as Fulin (Poria), Baizhu (Atractylodis Macrocephalae Rhizoma), Banzhilian (Scutellariae Barbatae Herba), Huangqi (Astragali Radix), Yeputaoteng, Dangshen (Codonopsis Radix); there were 32 couplet medicines used in high frequency, such as Fuling- Baizhu, Fuling- Banzhilian, Banzhilian- Huangqi; there were 23 medicine groups that composed of three drugs, such as Fuling- Banzhilian- Huangqi, Fuling- Baizhu- Huangqi, Baizhu- Banzhilian- Huangqi; there were 17 medicine groups that composed of four drugs, such as Fuling- Baizhu- Banzhilian- Huangqi, Fuling- Baizhu- Huangqi- Dangshen, Fuling- Banzhilian- Huangqi- Dangshen. Conclusion:16 high-frequency drugs, 32 common couplet medicines and 23 medicine groups of three drugs and 17 medicine groups of four drugs, which Professor Fan Zhongze used in treating colon cancer, are summarized. Data mining can be used for the study on experience of TCM famous and veteran doctors.

关键词

大肠癌数据挖掘用药规律范忠泽

Keywords

colon cancerdata miningmedication ruleFan Zhongze

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