Study on building index system of risk assessment of post-marketing Chinese patent medicine based on AHP-fuzzy neural network / 中国中药杂志
China Journal of Chinese Materia Medica
; (24): 2828-2830, 2011.
Article
in Chinese
| WPRIM (Western Pacific)
| ID: wpr-293175
Responsible library:
WPRO
ABSTRACT
Currently massive researches have been launched about the safety, efficiency and economy of post-marketing Chinese patent medicine (CPM) proprietary Chinese medicine, but it was lack of a comprehensive interpretation. Establishing the risk evaluation index system and risk assessment model of CPM is the key to solve drug safety problems and protect people's health. The clinical risk factors of CPM exist similarities with the Western medicine, can draw lessons from foreign experience, but also have itself multi-factor multivariate multi-level complex features. Drug safety risk assessment for the uncertainty and complexity, using analytic hierarchy process (AHP) to empower the index weights, AHP-based fuzzy neural network to build post-marketing CPM risk evaluation index system and risk assessment model and constantly improving the application of traditional Chinese medicine characteristic is accord with the road and feasible beneficial exploration.
Full text:
Available
Database:
WPRIM (Western Pacific)
Main subject:
Product Surveillance, Postmarketing
/
Neural Networks, Computer
/
Fuzzy Logic
/
Risk Assessment
/
Drug-Related Side Effects and Adverse Reactions
/
Nonprescription Drugs
Type of study:
Etiology study
/
Prognostic study
/
Risk factors
Limits:
Humans
Language:
Chinese
Journal:
China Journal of Chinese Materia Medica
Year:
2011
Document type:
Article