[1]焦 烨,闵仲生. 基于聚类分析探讨玫瑰痤疮的中医证型分布[J].中国美容医学,2018,(12):131-135.
　JIAO Ye,MIN Zhong-Sheng. The Research of the Distribution of TCM Syndromes of Rosacea Based on Cluster Analysis[J].Medical Aesthetics and Beauty,2018,(12):131-135.
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 基于聚类分析探讨玫瑰痤疮的中医证型分布
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《中国美容医学》[ISSN:1008-6445/CN:61-1347/R]

卷:
期数:
2018年12期
页码:
131-135
栏目:
出版日期:
2018-12-20

文章信息/Info

Title:
 The Research of the Distribution of TCM Syndromes of Rosacea Based on Cluster Analysis
文章编号:
1008-6455(2018)12-0131-05
作者:
焦 烨1;  闵仲生2
Author(s):
 JIAO Ye1;  MIN Zhong-Sheng2
关键词:
[关键词]玫瑰痤疮; 四诊信息; 聚类分析; 证型分布
Keywords:
Key words: rosacea;  four diagnostic information; cluster analysis; symptoms distribution
分类号:
R758.73+3
文献标志码:
B
摘要:
[摘要]通过分析玫瑰痤疮患者的临床资料及中医证候资料，探讨玫瑰痤疮的中医证型分布特点，为医生辨证施治及临床规范
化研究提供新的思路及客观依据。参考相关文献并结合专家观点，制定《玫瑰痤疮患者中医证候信息采集表》对患者进行横
断面研究，采集患者一般情况及中医四诊信息，对采集的数据进行频数统计及聚类分析。通过聚类分析得出，肺胃热盛证、
脾胃湿热证、痰湿凝滞证、气滞血瘀证、肝郁化火证是临床常见证型。运用聚类分析得出的玫瑰痤疮证型分类符合临床实
际，弥补了现有分型的局限性，对临床辨证施治具有一定的指导意义。

Abstract:
Abstract: Through the analyses of the clinical data and TCM syndromes of rosacea patients, discuss the distribution
characteristics of the TCM syndromes of rosacea, and provide a new thought and objective basis for the standardized clinical
research and dialectical treatment of TCM.Referred to relevant literatures and expert opinions, made a cross-sectional study on
the information collection table of TCM syndromes of rosacea patients, collected the general situation and the four diagnostic
information of TCM of patients to analyze the collected data by frequency statistics and cluster analysis. By cluster analysis,
lung-stomach heat retention syndrome, spleen-stomach damp-heat syndrome, phlegm-damp stagnation syndrome, Qi stagnation
and blood stasis syndrome, liver depression transforming into fire syndrome were clinical common types. The classification
of rosacea syndromes by cluster analysis was consistent with clinical practice, which made up the limitations of the existing
classification, and had certain guiding significance for clinical differentiation of symptoms and signs.

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更新日期/Last Update: 2019-01-10