,张劲松4,吴敏1,2,3,周福1,2,3"/>
社区获得性肺炎痰证兼杂常见病位、病性证素的关联规则分析
作者:
作者单位:

(1. 福建中医药大学中医证研究基地,福建 福州 350122;2. 福建省中医健康状态辨识重点实验室(福建中医药大学),福建 福州 350122;3. 福建省2011中医健康管理协同创新中心,福建 福州 350122;4. 福建中医药大学附属晋江中医院,福建 晋江 362200)

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中图分类号:

R259;R563.1

基金项目:

收稿日期: 2018 - 11- 21
基金项目: 国家自然科学基金(81373552);福建省自然科学基金(2018J01892);福建省2011中医健康管理协同创新 项目(JG2017009-协同)
第一作者简介: 连梨梨(1991-),女,硕士,研究方向:证的规范化研究。
△通信作者: 林雪娟,E-mail:lxjfjzy@126.com


Application of Association Rules in CAP’s Common Syndrome Elements of the DiseaseLocation and Nature Combined Phlegm Syndrome
Author:
Affiliation:

(1. Research Base of Traditional Chinese Medicine Syndrome, Fuzhou 350122, China;2. Key Laboratory of Chinese Medicine Identification of Health Status in Fujian Province(Fujian University of Traditional Chinese Medicine), Fuzhou 350122, China; 3. Fujian 2011 Traditional Chinese Medicine Health Management Collaborative Innovation Center, Fuzhou 350122, China; 4. Jinjiang Hospital of Traditional Chinese Medicine Affiliated to Fujian Universityof Chinese Medicine, Jinjiang 362200, China )

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    摘要:

    目的通过挖掘CAP的痰证素兼杂常见病位、病性证素的关联规则,探讨CAP痰证的常见病位、病性兼杂特征。方法采集201例社区获得性肺炎患者的四诊信息,运用证素辨证的方法,分析CAP的痰证素兼杂的常见病位、病性证素,并建立数据库,采用Aprior关联规则进行数据挖掘,得出痰证素兼杂常见病位、病性证素的组合特征。结果共挖掘出16条强关联规则,排重后剩余9条强关联规则。结论使用关联规则可以挖掘CAP的痰证兼杂特征,有助于认识本病的中医证素组合特点,为本病的临床诊治提供参考。

    Abstract:

    Objective By excavating the association rules about CAP’s common syndrome elements of the disease location and nature combined phlegm syndrome elements, to found the combined features about CAP’s common syndrome elements of the disease location and nature combined phlegm syndrome elements. Methods Four diagnostic information of 201 cases with Community-acquired Pneumonia were collected. A database based on the data of CAP’s common syndrome elements of disease location and nature combined phlegm syndrome elements were established. The association rules were excavated by the method of Apriori Algorithm and the combined features of CAP’s common syndrome elements of the disease location and nature combined phlegm syndrome elements were analyzed. Results 16 rules were concluded and 9 rules were left by eliminating repetitive. Conclusion The features of CAP’s common syndrome elements combined phlegm syndrome elements can be mined by association rules analysis, which is useful for the recognition of combined features of syndrome element of Community-acquired Pneumonia, and offer a reference for clinical diagnosis and treatment of community-acquired pneumonia.

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