Study on Application of Data Mining Technology in Syndrome Differentiation of TCM
Zhiguo Dai, Yangyang Han
Available Online April 2013.
- https://doi.org/10.2991/icsem.2013.152How to use a DOI?
- data mining, association rule, FP-tree algorithm, TCM application
- 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.
- 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 SP - 744 EP - 747 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 -