2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

Study on Application of Data Mining Technology in Syndrome Differentiation of TCM

Authors
Zhiguo Dai, Yangyang Han
Corresponding Author
Zhiguo Dai
Available Online April 2013.
DOI
https://doi.org/10.2991/icsem.2013.152How to use a DOI?
Keywords
data mining, association rule, FP-tree algorithm, TCM application
Abstract
Study on the applications of association rule mining in traditional Chinese medicine (TCM) knowledge and experience is carried out in this paper. The association rules of disease symptoms and syndrome differentiation, syndrome differentiation and prescription, disease symptoms and prescription are mined by analyzing the cases of patients with chronic gastritis, and then the mined association rules are interpreted that provide the beneficial reference for data mining technology in TCM.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.152How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhiguo Dai
AU  - Yangyang Han
PY  - 2013/04
DA  - 2013/04
TI  - Study on Application of Data Mining Technology in Syndrome Differentiation of TCM
BT  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.152
DO  - https://doi.org/10.2991/icsem.2013.152
ID  - Dai2013/04
ER  -