分类算法在中药研究中的应用及其进展

Application and Progress of Classification Algorithm in Traditional Chinese Medicine Research

为了研究分类算法在中药研究中的应用及其进展,为中药领域数据挖掘的相关研究提供有益的参考和借鉴,利用知网、万方和维普等作为主要文献检索平台,整理文献建立研究对象文献数据库。从311746篇文献中,整理得到345篇相关文献。结果显示分类算法的应用较多集中在中药药性研究、药物分析、药物安全性/毒性、方剂配伍规律和中药功效等5个研究子领域,且人工神经网络算法运用的范围最广,适用于中药科研的多个子领域。因此得出:分类算法在中药科研中应用种类多,且涵盖的研究范围广;不同数学模型的分类算法均有特色,应当结合中药数据的特点,优选不同的分类算法;通过改进完善传统的分类算法,更有利于充分发挥分类算法在中药传承和创新中的作用。

In order to study the application and progress of classification algorithm in traditional Chinese medicine(TCM)research and to provide useful reference for data mining in TCM.CNKI,Wanfang and Weipu was used as the main literature retrieval platform to establish the literature database of the research object.The result showed 345 related articles were collected from 311746 articles.The application of classification algorithm is mainly concentrated on five research sub-fields,including the study of Chinese medicine property,drug analysis,drug safety/toxicity,prescription compatibility rules and the efficacy of Chinese medicine.Moreover,the artificial neural network algorithm has the widest application range in subfields of traditional Chinese medicine research.It is concluded that the classification algorithm is widely used in the research of traditional Chinese medicine.The classification algorithms of different mathematical models have their own characteristics and should be optimized according to the characteristics of traditional Chinese medicine data.By improving the traditional classification algorithm,it is more conducive to give full play to the role of classification algorithm in the inheritance and innovation of traditional Chinese medicine.