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

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Herbal prescription in Traditional Chinese Medicine (TCM) relies on the experience of the prescribing doctor after appropriate diagnosis. The combination of herbs chosen, though based on the various Classics, can vary between patients with the same diagnosis. Furthermore, the underlying principles for the choice of herbs are not well defined, and the actual formations can also vary from doctor to doctor. We believe that the prescriptions are the embodiment of the wisdom of the successful doctors, in the process of diagnosis and treatment. Thus it is important to extract the wisdom and discover the knowledge important to the 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 of causal factors. The results of this study in the form of configurations indicate not only the herbs (present herbs) necessary for a positive outcome, but the choice of some other herbs (absent herbs) may impact negatively on the outcome.
Original languageEnglish
Title of host publicationProceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)
EditorsBrian Chen ... et al
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages868-871
ISBN (Print)9781457716133, 9781457716126
DOIs
Publication statusPublished - 2011
EventITCM 2011: Second International Workshop of Information Technology for Chinese Medicine within BIBM 2011: IEEE International Conference on Bioinformatics and Biomedicine - Atlanta, United States of America
Duration: 12 Nov 201115 Nov 2011

Conference

ConferenceITCM 2011: Second International Workshop of Information Technology for Chinese Medicine within BIBM 2011: IEEE International Conference on Bioinformatics and Biomedicine
CityAtlanta, United States of America
Period12/11/1115/11/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Decision Support and Group Support Systems
  • Traditional Chinese Medicine and Treatments
  • Pattern Recognition and Data Mining

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