title: Deep learning based syndrome diagnosis of chronic gastritis.
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.
authors.affiliation: Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Guo-Ping
authors.initials: GP
authors.lastname: Liu
authors.affiliation: Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Jian-Jun
authors.identifier: 0000-0002-1233-1136
authors.initials: JJ
authors.lastname: Yan
authors.affiliation: Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Yi-Qin
authors.initials: YQ
authors.lastname: Wang
authors.affiliation: Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Wu
authors.initials: W
authors.lastname: Zheng
authors.affiliation: Center for Mechatronics Engineering, East China University of Science and Technology, Shanghai 200237, China.
authors.forename: Tao
authors.initials: T
authors.lastname: Zhong
authors.affiliation: Technologies and Experiment Center, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Xiong
authors.initials: X
authors.lastname: Lu
authors.affiliation: Basic Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
authors.forename: Peng
authors.initials: P
authors.lastname: Qian
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001921:Brain / Q000502:physiology*; D002908:Chronic Disease; D003198:Computer Simulation; D003657:Decision Making; D020000:Decision Support Systems, Clinical; D005756:Gastritis / Q000175:diagnosis / Q000628:therapy*; D006801:Humans; D008516:Medicine, Chinese Traditional / Q000379:methods*; D015203:Reproducibility of Results; D012984:Software; D063189:Symptom Assessment
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