Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)

Research on Traditional Chinese Medicine Case Retrieval Method Based on Machine Learning

Authors
Aziguli WULAMU, Yan Xu, Dezheng Zhang, Daole Li
Corresponding Author
Aziguli WULAMU
Available Online November 2017.
DOI
10.2991/amms-17.2017.84How to use a DOI?
Keywords
decision support system; case reasoning; case retrieval; machine learning
Abstract

In recent years, the wave of artificial intelligence began to rise. In the field of traditional Chinese medicine, decision support system[1] is still in the initial stage, which is a lot of room for development. Therefore, it is very important to establish a practical TCM case-based reasoning system on the basis of TCM case database. Based on the existing case and user feedback data learning statistical model, this paper presents a method of traditional Chinese medicine case representation based on key symptoms. On this basis, the paper designs a Chinese medicine case retrieval strategy combining machine learning technology, and improves the retrieval effect under the premise of guaranteeing the simplicity and flexibility of the model.

Copyright
© 2017, 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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Volume Title
Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
Series
Advances in Intelligent Systems Research
Publication Date
November 2017
ISBN
978-94-6252-433-0
ISSN
1951-6851
DOI
10.2991/amms-17.2017.84How to use a DOI?
Copyright
© 2017, 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/).

Cite this article

TY  - CONF
AU  - Aziguli WULAMU
AU  - Yan Xu
AU  - Dezheng Zhang
AU  - Daole Li
PY  - 2017/11
DA  - 2017/11
TI  - Research on Traditional Chinese Medicine Case Retrieval Method Based on Machine Learning
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modeling and Simulation (AMMS 2017)
PB  - Atlantis Press
SP  - 377
EP  - 382
SN  - 1951-6851
UR  - https://doi.org/10.2991/amms-17.2017.84
DO  - 10.2991/amms-17.2017.84
ID  - WULAMU2017/11
ER  -