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Computational and Mathematical Methods in Medicine
Volume 2014 (2014), Article ID 938350, 8 pages
Research Article

Deep Learning Based Syndrome Diagnosis of Chronic Gastritis

1Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China
2Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China
3Technologies and Experiment Center, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Received 22 November 2013; Accepted 10 January 2014; Published 5 March 2014

Academic Editor: Yuanjie Zheng

Copyright © 2014 Guo-Ping Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In Traditional Chinese Medicine (TCM), most of the algorithms used to solve problems of syndrome diagnosis are superficial structure algorithms and not considering the cognitive perspective from the brain. However, in clinical practice, there is complex and nonlinear relationship between symptoms (signs) and syndrome. So we employed deep leaning and multilabel learning to construct the syndrome diagnostic model for chronic gastritis (CG) in TCM. The results showed that deep learning could improve the accuracy of syndrome recognition. Moreover, the studies will provide a reference for constructing syndrome diagnostic models and guide clinical practice.