Study on the compatibility optimization of categorized formulas of Chinese medicine based on support vector regression.
- Author:
Xiufeng WANG
1
;
Lei ZHANG
;
Laicheng LUO
;
Jianhong WANG
Author Information
1. School of Basic Courses, Guangdong Pharmaceutical University, Guangzhou 510006, China.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Drug Synergism;
Drug Therapy, Combination;
Drugs, Chinese Herbal;
administration & dosage;
Models, Theoretical;
Support Vector Machine
- From:
Journal of Biomedical Engineering
2012;29(6):1058-1061
- CountryChina
- Language:Chinese
-
Abstract:
Prediction on pharmacodynamic action of categorized formulas is presented with the theory of support vector regression (SVR) in this paper. A prediction model of pharmacodynamic action of categorized formulas based on SVR was set up in order to predict the law of the compatibility of the categorized formulas. Pharmacodynamic action of various categorized formulas could be predicted based on this model. It is very significient to optimize the compatibility of categorized formulas and clinical practice. This model was applied to the research of the law of compatibility in three categorized formulas for tonifying kidney yang which contains shenqi pill, yougui pill and yougui drink. As indicated in the model prediction, pharmacodynamic actions of several compatibilities of the categorized formulas are superior to that of the three original formulas for tonifying kidney yang.
