Advance in research on data processing methods of optimizing drug preparation process / 中国药学杂志

ABSTRACT

OBJECTIVE: To summarize the advance in research on a variety of data processing methods of optimizing drug preparation process. METHODS: On the basis of data processing methods of single index, this paper compares, analyzes and summarizes a variety of data processing methods in relevant literature. RESULTS: Multiple indicator data processing method, such as analysis of variance-comprehensive weighted of multi-index, multiple regression analysis-response surface methodology, artificial neural network, and multi-dimensional space triangle area, has been widely used in the optimization of drug preparation process in a certain scope. CONCLUSION: Analysis of variance-comprehensive weighted of multi-index, multiple regression analysis-response surface methodology, artificial neural networks, and multidimensional spatial triangular area can reveal the principles among multi-factors of multi-levels, thus can provide reference for optimizing drug preparation technology.