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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著者

    • Chang Hen-Hong
    • Graduate Institute of Traditional Chinese Medicine, Chang Gung University:Center for Traditional Chinese Medicine, Chang Gung Memorial Hospital
    • Chen Juei-Chao
    • Gradate Institute of Applied Statistics, Fu Jen Catholic University
    • Lin Chin-Tsai
    • Graduate Institute of Business and Management, Yuanpei University

抄録

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.

収録刊行物

  • Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association   [巻号一覧]

    Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association 13(1), 63-68, 2008-03  [この号の目次]

    バイオメディカル・ファジィ・システム学会

各種コード

  • NII論文ID(NAID)
    110006914881
  • NII書誌ID(NCID)
    AA11451470
  • 本文言語コード
    ENG
  • データ提供元
    NII-ELS 
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