Influencing factor and mechanism analysis of adverse drug reaction in traditional Chinese medicine injection

2012 ◽  
Author(s):  
WEI Xu
Keyword(s):  
Adverse Drug Reaction ◽  
Drug Reaction ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Influencing Factor ◽  
Mechanism Analysis

scholarly journals A metabolic mechanism analysis of Fuzheng-Huayu formula for improving liver cirrhosis with traditional Chinese medicine syndromes

2017 ◽  
Vol 39 (6) ◽  
pp. 942-951 ◽  
Author(s):  
Ya-nan Song ◽  
Jian Chen ◽  
Fei-fei Cai ◽  
Yi-yu Lu ◽  
Qi-long Chen ◽  
...  
Keyword(s):  
Liver Cirrhosis ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Mechanism Analysis ◽  
Metabolic Mechanism

scholarly journals Research Advance on Qingfei Paidu Decoction in Prescription Principle, Mechanism Analysis and Clinical Application

2021 ◽  
Vol 11 ◽  
Author(s):  
Wei Ren ◽  
Yue Ma ◽  
Raoqiong Wang ◽  
Pan Liang ◽  
Qin Sun ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Clinical Application ◽  
Future Research ◽  
Mechanism Analysis ◽  
The Novel ◽  
Global Epidemic ◽  
State Administration ◽  
Tcm Theory ◽  
Novel Coronavirus

Since the sudden epidemic of coronavirus disease 2019 (COVID-19), the State Administration of Traditional Chinese Medicine immediately organized experts to formulate and screen the effective prescriptions of traditional Chinese medicine according to the characteristics of the novel coronavirus infection. Qingfei Paidu decoction (QFPDD) has been proven to be effective in multi-provincial clinical trials, and has been selected as a general prescription for the treatment of COVID-19 in different stages that was later promoted to be used nationwide. This review highlights the latest advances of QFPDD, focusing on the TCM theory, mechanism analysis, clinical application of QFPDD and its future perspectives. Moreover, an in-depth discussion of some valuable issues and possible development for future research on QFPDD is also discussed, aiming to provide a novel guide to combat the global epidemic COVID-19.

A survey on adverse drug reaction studies: data, tasks and machine learning methods

2019 ◽  
Author(s):  
Duc Anh Nguyen ◽  
Canh Hao Nguyen ◽  
Hiroshi Mamitsuka
Keyword(s):  
Machine Learning ◽  
Adverse Drug Reaction ◽  
Drug Reaction ◽  
Drug Discovery ◽  
Data Sources ◽  
Mechanism Analysis ◽  
Learning Methods ◽  
Open Problems ◽  
Machine Learning Methods ◽  
Benchmark Data

Abstract Motivation Adverse drug reaction (ADR) or drug side effect studies play a crucial role in drug discovery. Recently, with the rapid increase of both clinical and non-clinical data, machine learning methods have emerged as prominent tools to support analyzing and predicting ADRs. Nonetheless, there are still remaining challenges in ADR studies. Results In this paper, we summarized ADR data sources and review ADR studies in three tasks: drug-ADR benchmark data creation, drug–ADR prediction and ADR mechanism analysis. We focused on machine learning methods used in each task and then compare performances of the methods on the drug–ADR prediction task. Finally, we discussed open problems for further ADR studies. Availability Data and code are available at https://github.com/anhnda/ADRPModels.

scholarly journals TCMID: traditional Chinese medicine integrative database for herb molecular mechanism analysis

2012 ◽  
Vol 41 (D1) ◽  
pp. D1089-D1095 ◽  
Author(s):  
Ruichao Xue ◽  
Zhao Fang ◽  
Meixia Zhang ◽  
Zhenghui Yi ◽  
Chengping Wen ◽  
...  
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Molecular Mechanism ◽  
Mechanism Analysis
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