Determining the Disease Patterns in B-Code Data from SLE Patients(<Special Issue>Contribution to 21 Century Intelligent Technologies and Bioinformatics)
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概要
- 論文の詳細を見る
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.
- バイオメディカル・ファジィ・システム学会の論文
著者
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Lin Chin-tsai
Graduate Institute Of Business And Management Yuanpei University
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Chang Hen-Hong
Graduate Institute of Traditional Chinese Medicine, Chang Gung University
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Wu Wen-Hsiang
Department of Healthcare Management, Yuanpei University
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Chen Juei-Chao
Gradate Institute of Applied Statistics, Fu Jen Catholic University
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Chang Hen-hong
Graduate Institute Of Traditional Chinese Medicine Chang Gung University:center For Traditional Chin
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Wu Wen-hsiang
Department Of Healthcare Management Yuanpei University
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Chen Juei-chao
Gradate Institute Of Applied Statistics Fu Jen Catholic University
関連論文
- Determining the Disease Patterns in B-Code Data from SLE Patients(Contribution to 21 Century Intelligent Technologies and Bioinformatics)
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