Research on the Psoriasis Vulgaris Syndrome Differentiation Standard of Traditional Chinese Medicine Based on Data Mining Technology

被引：0

作者：

Xie, Xiuli ^{[1
]}

Lu, Chuanjian ^{[1
]}

Zeng, Zhao ^{[2
]}

Zeng, Zhangpeng ^{[2
]}

Yan, Yuhong ^{[1
]}

机构：

[1] Guangdong Prov Hosp Tradit Chinese Med, Guangzhou 510120, Peoples R China

[2] Guangzhou Univ Chinese Med, Guangzhou 510120, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | 2013年

关键词：

Psoriasis Vulgaris; Traditional Chinese Medicine; Syndrome Differentiation Standard; Data Mining Technology;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Psoriasis is a common chronic skin disease of which the pathogenesis has not yet been fully elucidated. Traditional Chinese medicine (TCM) has effectiveness in treating this disease. Syndromes are the basic pathological units and key concepts of TCM theory, standardisation in TCM is significantly important for psoriasis diagnosis and treatment. Nevertheless, there are few documents concerning this issue. This study focused on psoriasis vulgaris, collected and analysed the literature in recent decades (1979-2011), applied data mining methods to analyse the characteristics of the main type symptoms, and formed psoriasis vulgaris syndrome diagnostic criteria.

引用

页数：4

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