论文信息 - Determining the Disease Patterns in B-Code Data from SLE Patients( Contribution to 21 Century Intelligent Technologies and Bioinformatics)

Determining the Disease Patterns in B-Code Data from SLE Patients( Contribution to 21 Century Intelligent Technologies and Bioinformatics)

This study defined and arranged 2047 data records of Systematic Lupus Erythematosus (SLE) patients according to the disease pattern coding system of traditional Chinese medicine (i.e., B-code). Hierarchical cluster analysis is then used to cluster the commonly occurring disease patterns of SLE by B-code. Based on analysis of the results, we believe that hierarchical cluster analysis is more suited for clinical use by traditional Chinese medicine (TCM) physicians. The results of the hierarchical cluster analysis can be used to derive principles for recognizing disease patterns. These principles can create a TCM system that can help TCM physicians provide more accurate diagnosis and more effective treatment.

Hen-Hong Chang | Wen-Hsiang Wu | Chin-Tsai Lin | Juei-Chao Chen

[1] E A Mayer,et al. Traditional Chinese medicine based subgrouping of irritable bowel syndrome patients. , 2005, The American journal of Chinese medicine.

[2] M H Liang,et al. The psychosocial impact of systemic lupus erythematosus and rheumatoid arthritis. , 1984, Arthritis and rheumatism.

[3] Yi-Wen Tsai,et al. National health insurance, physician financial incentives, and primary cesarean deliveries in Taiwan. , 2002, American journal of public health.

[4] Subhash Sharma. Applied multivariate techniques , 1995 .

[5] Yen-Ying Kung,et al. The different immunomodulation of indirect moxibustion on normal subjects and patients with systemic lupus erythematosus. , 2006, The American journal of Chinese medicine.