title: Study on intelligent syndrome differentiation in traditional Chinese medicine based on multiple information fusion methods.
abstract: Numerous researchers have taken the solid step forward towards the objectification research of Traditional Chinese Medicine (TCM) four diagnostic methods. However, it is deficient in studies on information fusion of the four diagnostic methods. We establish four-diagnosis syndrome differentiation model of TCM based on information fusion technology. The objective detection instruments of four-diagnostic method are applied to collect four-diagnosis objective information of 506 cases of clinical heart-system patients. Then multiple information fusion methods are adopted to establish recognition model of syndromes. The results of our experiments show that recognition rates of the six syndromes using multi-label learning is better than OCON artificial neural network and multiple support vector machine.
authors.affiliation: School of Basic Medicine, Shanghai University of Traditional Chinese, Shanghai 201203, China. wangyiqin2380@vip.sina.com
authors.forename: Yi-Qin
authors.initials: YQ
authors.lastname: Wang
authors.forename: Hai-Xia
authors.initials: HX
authors.lastname: Yan
authors.forename: Rui
authors.initials: R
authors.lastname: Guo
authors.forename: Fu-Feng
authors.initials: FF
authors.lastname: Li
authors.forename: Chun-Ming
authors.initials: CM
authors.lastname: Xia
authors.forename: Jian-Jun
authors.initials: JJ
authors.lastname: Yan
authors.forename: Zhao-Xia
authors.initials: ZX
authors.lastname: Xu
authors.forename: Guo-Ping
authors.initials: GP
authors.lastname: Liu
authors.forename: Jin
authors.initials: J
authors.lastname: Xu
mesh_terms: D019295:Computational Biology / Q000379:methods*; D003937:Diagnosis, Differential; D006801:Humans; D008516:Medicine, Chinese Traditional; D013577:Syndrome