Analysis of Herbal Formulation in TCM: Infertility as a case study

Simon K. Poon, Kei Fan, Josiah Poon, Clement Loy, Kelvin Chan, Paul Kwan, Zhou Xuezhong, Junbin Gao, Zhang Runshun, Yinghui Wang, Jinghong Xie, Baoyan Liu, Daniel Sze

    Research output: Book chapter/Published conference paperConference paperpeer-review

    5 Citations (Scopus)
    93 Downloads (Pure)


    Herbal prescription in Traditional ChineseMedicine (TCM) relies on the experience of the prescribingdoctor after appropriate diagnosis. The combination of herbschosen, though based on the various Classics, can varybetween patients with the same diagnosis. Furthermore, theunderlying principles for the choice of herbs are not welldefined, and the actual formations can also vary from doctorto doctor. We believe that the prescriptions are theembodiment of the wisdom of the successful doctors, in theprocess of diagnosis and treatment. Thus it is important toextract the wisdom and discover the knowledge important tothe understanding of TCM. The data mining technique employed for analysis here is the Qualitative Comparative Analysis (QCA). This particular analytical method is adopted from social science study, where it is a small-N analysis,meaning that case number is small relative the number ofcausal factors. The results of this study in the form ofconfigurations indicate not only the herbs (present herbs)necessary for a positive outcome, but the choice of some otherherbs (absent herbs) may impact negatively on the outcome.
    Original languageEnglish
    Title of host publicationITCM 2011
    Subtitle of host publicationSecond International Workshop on Information Technology for Chinese Medicine
    EditorsBrian Chen
    Place of PublicationUnited States
    Number of pages5
    ISBN (Electronic)9781457716133
    Publication statusPublished - 2011
    EventIEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) - Atlanta, GA, USA, New Zealand
    Duration: 12 Nov 201115 Nov 2011


    ConferenceIEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
    Country/TerritoryNew Zealand


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