• DocumentCode
    3198489
  • Title

    Study on the distinguishing feature in use of Chinese drugs on cervical spondylosis patients in perimenopausal period through data mining methods

  • Author

    Jun Liu ; Jian-ke Pan ; Ji-yuan Yang ; Da Guo ; Wei-yi Yang ; Xiang Li ; Yu-yao Wan ; Shu-chai Xu

  • Author_Institution
    Second Affiliated Hosp., Guangzhou Univ. of Chinese Med., Guangzhou, China
  • fYear
    2013
  • fDate
    18-21 Dec. 2013
  • Firstpage
    138
  • Lastpage
    139
  • Abstract
    Objective: To analyze the distinguishing feature in use of Chinese drugs on cervical spondylosis patients in perimenopausal period through data mining methods. Methods: Chinese medicine recipes for cervical spondylosis patients in perimenopausal period were collected and recorded in the database, and then the correlation coefficient between herbs, core combinations of herbs were analyzed by using modified mutual information, complex system entropy cluster, respectively. Results: Based on the analysis of Chinese medicine recipes for cervical spondylosis patients in perimenopausal period, drugs with high-frequency occurrence in these recipes, frequently-used herb pairs and core combinations, et al. will been founded. Discussion: From the result, we may find the main Chinese medicines for cervical spondylosis patients in perimenopausal period, and the therapeutic principle for cervical spondylosis patients in perimenopausal period, and the method of treatment for cervical spondylosis patients in perimenopausal period. These data may help to reveals the relationship between cervical spondylosis and the physiological and pathology of the menopausal transition.
  • Keywords
    data mining; diseases; drugs; entropy; gynaecology; medical information systems; patient treatment; physiology; Chinese drugs; Chinese medicine recipe analysis; cervical spondylosis patient treatment; complex system entropy cluster; correlation coefficient; data mining methods; herbs; modified mutual information; pathology; perimenopausal period; physiology; therapeutic principle; Data mining; Databases; Drugs; Educational institutions; Entropy; Pathology; Physiology; Chinese medicine; cervical spondylosis; data mining methods; perimenopausal period;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/BIBM.2013.6732658
  • Filename
    6732658