Related Experiment Video
Updated: May 6, 2026

Visualization of Metabolites Identified in the Spatial Metabolome of Traditional Chinese Medicine Using DESI-MSI
Published on: December 16, 2022
Study on intelligent syndrome differentiation in traditional Chinese medicine based on multiple information fusion
Yi-Qin Wang1, Hai-Xia Yan, Rui Guo
1School of Basic Medicine, Shanghai University of Traditional Chinese, Shanghai 201203, China. wangyiqin2380@vip.sina.com
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.
More Related Videos
09:24Standardized Identification of Compound Structure in Tibetan Medicine Using Ion Trap Mass Spectrometry and Multiple-Stage Fragmentation Analysis
Published on: March 17, 2023
07:16Preparation of Gynura bicolor DC samples for High-Resolution Tandem Mass Spectrometry
Published on: February 2, 2024