Title :
A new method for mining optimal formula from curative data of new Chinese medicine
Author_Institution :
Dept. of Comput. Sci. & Technol., Tshinghua Univ., Beijing, China
Abstract :
In this paper, the author presents a new method for mining optimal formula from clinical curative data of new Chinese medicine. In our method, I first design the model of curative data based on time series analysis and feature extraction. Then, I get the integrated curative effect of ingredient formula with different prescription proportions according to the model. Finally, I mine the optimal formula of new Chinese medicine through the curative curve of prescription proportion. By experiment, my method is effective to this kind of combination optimization problems and is an application of time series analysis in Chinese medicine research.
Keywords :
data analysis; data mining; medical computing; optimisation; time series; Chinese medicine; clinical curative data; feature extraction; optimal formula mining; prescription; time series analysis; Arteries; Cardiology; Computer science; Design methodology; Dogs; Heart; Intelligent systems; Laboratories; Testing; Time series analysis;
Conference_Titel :
Computational Intelligence and Multimedia Applications, 2003. ICCIMA 2003. Proceedings. Fifth International Conference on
Print_ISBN :
0-7695-1957-1
DOI :
10.1109/ICCIMA.2003.1238145
