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

    • 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

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Abstract

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.

Journal

Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association   [List of Volumes]

Biomedical fuzzy and human sciences : the official journal of the Biomedical Fuzzy Systems Association 13(1), 63-68, 2008-03  [Table of Contents]

Biomedical Fuzzy Systems Association

Codes

  • NII Article ID (NAID) :
    110006914881
  • NII NACSIS-CAT ID (NCID) :
    AA11451470
  • Text Lang :
    ENG
  • Databases :
    NII-ELS