A new method for mining optimal formula from curative data of new Chinese medicine

Zhenggui Xiang
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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.
从新中药疗效数据中挖掘最佳配方的新方法
本文提出了一种从新中药临床疗效数据中挖掘最佳方剂的新方法。在我们的方法中,我首先设计了基于时间序列分析和特征提取的治疗数据模型。然后根据模型得到不同处方比例的成分配方的综合疗效。最后通过处方比例的疗效曲线,挖掘出新中药的最佳配方。通过实验,我的方法对这类组合优化问题是有效的,是时间序列分析在中药研究中的一个应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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