[1]黄俊杰,曹立幸,陈 浩,等.基于聚类和关联规则的中医治疗月经先期用药规律探讨[J].医学信息,2018,(23):1-4,9.[doi:10.3969/j.issn.1006-1959.2018.23.001]
 HUANG Jun-jie,CAO Li-xing,CHEN Hao,et al.Discussion of the Rule of Traditional Chinese Medicine in the Treatment of Preceeded Menorrhea Based on Clustering and Association Rules[J].Medical Information,2018,(23):1-4,9.[doi:10.3969/j.issn.1006-1959.2018.23.001]
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基于聚类和关联规则的中医治疗月经先期用药规律探讨()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
期数:
2018年23期
页码:
1-4,9
栏目:
医学信息学
出版日期:
2018-12-01

文章信息/Info

Title:
Discussion of the Rule of Traditional Chinese Medicine in the Treatment of Preceeded Menorrhea Based on Clustering and Association Rules
文章编号:
1006-1959(2018)23-0001-05
作者:
黄俊杰1曹立幸2陈 浩1栗会敏3
1.广州中医药大学医学信息工程学院,广东 广州 510006;2.广东省中医院妇科,广东 广州 510120;3.湖南安邦制药有限公司,湖南 长沙 410000
Author(s):
HUANG Jun-jie1CAO Li-xing2CHEN Hao1LI Hui-min3
1.College of Medical Information Engineering,Guangzhou University of TraditionalChinese Medicine,Guangzhou 510006,Guangdong,China;2. Department Gynecology,Guangdong Provincial Hospital of Traditional Chinese Medicine,Guangzhou 510120,Guangdong,China;3.Hunan Anbang Pharmaceutical Co., Ltd.,Changsha 410000,Hunan,China
关键词:
月经先期中医治疗关联规则聚类分析
Keywords:
Preceeded menorrheaTraditional Chinese medicine treatmentAssociation rulesClustering analysis
分类号:
R285
DOI:
10.3969/j.issn.1006-1959.2018.23.001
文献标志码:
B
摘要:
应用聚类和关联规则对中药复方治疗月经先期的用药规律进行探究。方法 收集并筛选收录于CNKI数据库的治疗月经先期的方剂,建立中药复方治疗月经先期文献数据库,使用Excel 2016,SPSS 22.0以及SPSS Modeler软件进行频数频率分析、聚类分析和关联分析。结果 共收集中医治疗月经先期的文献569篇,筛选后得到321首中药复方和255味中药;治疗月经先期的核心药物有白芍、生地黄、当归、牡丹皮、白术、熟地、黄芪等。对核心药物进行聚类分析,形成8个聚类组合。通过关联规则分析共得19条药对及药组关联规则。结论 中药复方治疗月经先期的用药规律以补中益气,养阴清热,凉血止血,疏肝解郁,补血调经为主;白芍、当归、生地黄、牡丹皮可作为治疗月经先期的基础药物。
Abstract:
Objective To discuss the rule of traditional Chinese medicine(TCM)compound in the treatment of preceeded menorrhea by clustering and assosciation rules. Methods The prescriptions for the treatment of advance menstruation were collected and screened in CNKI database, and the database of TCM compound for the treatment of preceeded menorrhea was established. Frequency analysis, cluster analysis and association analysis were carried out by using Excel 2016,SPSS22.0 and SPSS Modeler software. Results A total of 569 articles of Chinese medicine for the treatment of menstrual disease were collected. After screening, 321 Chinese herbal medicines and 255 Chinese herbal medicines were obtained. The core drugs for the treatment of menstruation were white peony root, Radix Rehmanniae, Angelica sinensis, Cortex Moutan, Atractylodes macrocephala, Rehmannia glutinosa and Radix Astragali. The core drugs were clustered and analyzed to form 8 cluster combinations. A total of 19 drug pairs and drug group association rules were obtained through association rule analysis. Conclusion The traditional Chinese medicine compound treatment of menstruation in the early stage of medication to Buzhong Yiqi, nourishing yin and clearing heat, cooling blood to stop bleeding, Shugan Jieyu, blood and menstruation; white peony, angelica, rehmannia, peony bark can be used as the basis for the treatment of menstrual early drug.

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更新日期/Last Update: 2018-12-17