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

DOI

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.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 744
EP  - 747
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.152
DO  - 10.2991/icsem.2013.152
ID  - Dai2013/04
ER  -