Knowledge Discovery of Prescription for Spleen Deficiency Syndrome Base on Attribute Partial Ordered Structure Diagram

DOI

10.2991/itoec-16.2016.5How to use a DOI?

Keywords

knowledge discovery; attribute partial ordered structure diagram (APOSD); spleen deficiency syndrome; prescription compatibility

Abstract

In recent years, the application of knowledge discovery method to the field of the traditional Chinese medicine (TCM) gains more attention to researchers. It is necessary to have a visual mining for hidden knowledge in the massive and complicated data of prescription, which embody important knowledge of treatment for different syndrome. The spleen deficiency syndrome is one of the common syndromes of TCM, but there have many problems needed to be discovered and perfected further. In this paper, we present a visual analysis method named attribute partial ordered structure diagram (APOSD) for mining knowledge of prescription compatibility law for spleen deficiency syndrome. A formal context is formed based on prescriptions and drugs recorded in literature. Then it is optimized and computed to construct APOSD for visualization. The useful knowledge can be mined from the APOSD. The result shows that APOSD can discover new knowledge of prescription compatibility.

Copyright

© 2016, 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  - Hui Meng
AU  - Wenxue Hong
AU  - Cunfang Zheng
AU  - Fengjie Fan
AU  - Jialin Song
PY  - 2016/05
DA  - 2016/05
TI  - Knowledge Discovery of Prescription for Spleen Deficiency Syndrome Base on Attribute Partial Ordered Structure Diagram
BT  - Proceedings of the 2nd Information Technology and Mechatronics Engineering Conference (ITOEC 2016)
PB  - Atlantis Press
SP  - 20
EP  - 23
SN  - 2352-5401
UR  - https://doi.org/10.2991/itoec-16.2016.5
DO  - 10.2991/itoec-16.2016.5
ID  - Meng2016/05
ER  -