• DocumentCode
    2766835
  • Title

    Research on the clinical classification of Xi clan diabetic foot using fuzzy C-means clustering method

  • Author

    Yemin, Cao ; Haowei, Zhang ; HongTao, Xu ; Jiuyi, Xi ; Xunsheng, Zhu ; Zheng, Gu

  • Author_Institution
    Shanghai Traditional Chinese Med.-Integrated Hosp., Shanghai, China
  • fYear
    2011
  • fDate
    12-15 Nov. 2011
  • Firstpage
    881
  • Lastpage
    885
  • Abstract
    Xi Jiuyi, born in 1923, is a famous expert on peripheral vascular diseases. He has been engaged in scientific research and clinical teaching over 60 years and cured of the countless patients. He has decided the five clinical classifications of diabetic foot (DF) and got outstanding curative effects. Following the medical practice of Professor Xi and using engineering technology, we collect symptoms, signs, tongue and pulse condition of 103 cases. Then we use fuzzy C-means clustering method by calculation iterative with the information of 103 cases. The result shows the average accuracy rate is 86.41% similarity with Professor Xi´s results of clinical classification. With the expansion of the samples, we believe a higher accuracy rate can be reached. We can draw a conclusion that fuzzy C-means clustering method can reflect the Professor Xi´s idea of DF clinic classification, thus inherit the academic ideas of Xi effectively.
  • Keywords
    diseases; fuzzy set theory; patient diagnosis; pattern clustering; DF clinic classification; Xi clan diabetic foot; clinical classification; clinical teaching; curative effect; engineering technology; fuzzy C-means clustering method; peripheral vascular disease; scientific research; Clustering methods; Diabetes; Diseases; Foot; Medical diagnostic imaging; Skin; Tendons; a famous doctor of TCM; clinical classification; diabetic foot; fuzzy C-means clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4577-1612-6
  • Type

    conf

  • DOI
    10.1109/BIBMW.2011.6112490
  • Filename
    6112490