International Journal of Computational Intelligence Systems

Volume 3, Issue 1, April 2010, Pages 56 - 69

An Effective Traditional Chinese Medicine Syndrome Model based on Proportional Odds Model and Similarity

Authors
Tong-sheng Chen, Shao-zi Li, Chang-le Zhou
Corresponding Author
Tong-sheng Chen
Received 2 April 2009, Accepted 8 December 2009, Available Online 1 April 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.1.6How to use a DOI?
Keywords
Syndrome model, Proportional odds model, Similarity, Score test
Abstract
This paper discusses proportional odds model and similarity on the construction of Traditional Chinese Medicine (TCM) chronic gastritis syndrome model. The syndromes explain the true relationships among a set of symptoms, which can be characterized by marginal probabilities and conditional probabilities. The former represents the distribution of levels of the syndrome across the symptoms. The latter describes the probabilities of an individual in a certain syndrome being at a particular level of the symptom, so it enables us to characterize the nature of the syndromes and the essence of the symptoms. A graph model for TCM syndromes gives intuitive mathematical insight into its use and computation. Similarity among syndromes explains that the model we construct is altogether fitting and proper.
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This is an open access article distributed under the CC BY-NC license.

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 1
Pages
56 - 69
Publication Date
2010/04
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.1.6How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Tong-sheng Chen
AU  - Shao-zi Li
AU  - Chang-le Zhou
PY  - 2010
DA  - 2010/04
TI  - An Effective Traditional Chinese Medicine Syndrome Model based on Proportional Odds Model and Similarity
JO  - International Journal of Computational Intelligence Systems
SP  - 56
EP  - 69
VL  - 3
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.1.6
DO  - https://doi.org/10.2991/ijcis.2010.3.1.6
ID  - Chen2010
ER  -