Title :
Research on the psoriasis vulgaris syndrome differentiation standard of traditional Chinese medicine based on data mining technology
Author :
Xiuli Xie ; Chuanjian Lu ; Zhao Zeng ; Zhangpeng Zeng ; Yuhong Yan
Author_Institution :
Guangdong Provincial Hosp. of Traditional Chinese Med., Guangzhou, China
Abstract :
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.
Keywords :
diseases; patient treatment; AD 1979 to 2011; TCM theory; chronic skin disease; data mining; pathological units; psoriasis diagnosis; psoriasis treatment; psoriasis vulgaris syndrome differentiation standard; traditional Chinese medicine; Data mining; Diseases; Lesions; Medical diagnostic imaging; Skin; Standards; Tongue; Data Mining Technology; Psoriasis Vulgaris; Syndrome Differentiation Standard; Traditional Chinese Medicine;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732694
