Abstract
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 language | English |
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Title of host publication | ITCM 2011 |
Subtitle of host publication | Second International Workshop on Information Technology for Chinese Medicine |
Editors | Brian Chen |
Place of Publication | United States |
Publisher | IEEE |
Pages | 868-872 |
Number of pages | 5 |
ISBN (Electronic) | 9781457716133 |
DOIs | |
Publication status | Published - 2011 |
Event | IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) - Atlanta, GA, USA, New Zealand Duration: 12 Nov 2011 → 15 Nov 2011 |
Conference
Conference | IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW) |
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Country/Territory | New Zealand |
Period | 12/11/11 → 15/11/11 |