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Computational and Mathematical Methods in MedicineVolume 2014 2014, Article ID 938350, 8 pages

Research Article

Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China

Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China

Technologies 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.

Abstract

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.





Autor: Guo-Ping Liu, Jian-Jun Yan, Yi-Qin Wang, Wu Zheng, Tao Zhong, Xiong Lu, and Peng Qian

Fuente: https://www.hindawi.com/



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