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

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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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  -