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Multistage analysis method for detection of effective herb prescription from clinical data
Kuo Yang, Runshun Zhang, Liyun He, Yubing Li, Wenwen Liu, Changhe Yu, Yanhong Zhang, Xinlong Li, Yan Liu, Weiming Xu, Xuezhong Zhou, Baoyan Liu
Frontiers of Medicine 2018, Volume 12, Issue 2, Pages 206-217 doi: 10.1007/s11684-017-0525-8
Determining effective traditional Chinese medicine (TCM) treatments for specific disease conditions or particular patient groups is a difficult issue that necessitates investigation because of the complicated personalized manifestations in real-world patients and the individualized combination therapies prescribed in clinical settings. In this study, a multistage analysis method that integrates propensity case matching, complex network analysis, and herb set enrichment analysis was proposed to identify effective herb prescriptions for particular diseases (e.g., insomnia). First, propensity case matching was applied to match clinical cases. Then, core network extraction and herb set enrichment were combined to detect core effective herb prescriptions. Effectiveness-based mutual information was used to detect strong herb–symptom relationships. This method was applied on a TCM clinical data set with 955 patients collected from well-designed observational studies. Results revealed that groups of herb prescriptions with higher effectiveness rates (76.9% vs. 42.8% for matched samples; 94.2% vs. 84.9% for all samples) compared with the original prescriptions were found. Particular patient groups with symptom manifestations were also identified to help investigate the indications of the effective herb prescriptions.
Keywords: effective prescription detection herb set enrichment analysis core network extraction insomnia personalized
LC-ELSD analysis for simultaneous determination of five components in the Xue-Fu-Zhu-Yu capsules
Ying GAO, Wenyuan GAO, Xuan DONG, Fengge LI, Xinying YANG,
Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 1, Pages 96-101 doi: 10.1007/s11705-009-0309-z
Keywords: chromatographic separation prescription Symmetry chromatography evaporative
Parallel cognition: hybrid intelligence for human-machine interaction and management Research Article
Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1765-1779 doi: 10.1631/FITEE.2100335
Keywords: Cognitive learning Artificial intelligence Behavioral prescription
Chenghai Yang
Engineering 2020, Volume 6, Issue 5, Pages 528-532 doi: 10.1016/j.eng.2019.10.015
Keywords: Crop disease Airborne imagery High-resolution satellite imagery Cotton root rot Prescription map
Hui Xiong, Ai-Hua Zhang, Ya-Jing Guo, Xiao-Hang Zhou, Hui Sun, Le Yang, Heng Fang, Guang-Li Yan, Xi-Jun Wang
Engineering 2021, Volume 7, Issue 9, Pages 1293-1305 doi: 10.1016/j.eng.2020.12.016
A herbal prescription in traditional Chinese medicine (TCM) has great complexity, with multiple componentssuccessfully applied for the effective discovery of the active compounds and therapeutic targets of an herbal prescription
Keywords: Efficacy Bioactive compound Small molecule Targets Herbal medicine Metabolomics
Title Author Date Type Operation
Multistage analysis method for detection of effective herb prescription from clinical data
Kuo Yang, Runshun Zhang, Liyun He, Yubing Li, Wenwen Liu, Changhe Yu, Yanhong Zhang, Xinlong Li, Yan Liu, Weiming Xu, Xuezhong Zhou, Baoyan Liu
Journal Article
LC-ELSD analysis for simultaneous determination of five components in the Xue-Fu-Zhu-Yu capsules
Ying GAO, Wenyuan GAO, Xuan DONG, Fengge LI, Xinying YANG,
Journal Article
Parallel cognition: hybrid intelligence for human-machine interaction and management
Peijun YE, Xiao WANG, Wenbo ZHENG, Qinglai WEI, Fei-Yue WANG
Journal Article
Remote Sensing and Precision Agriculture Technologies for Crop Disease Detection and Management with a Practical Application Example
Chenghai Yang
Journal Article