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吴地尧,章新友,张玉娇,等. 分类算法在中药科研中的应用及其进展[J]. 科学技术与工程, 2019, 19(35): 1-9.
Wudiyao,et al.Application and progress of classification algorithm in TCM research[J].Science Technology and Engineering,2019,19(35):1-9.
分类算法在中药科研中的应用及其进展
Application and progress of classification algorithm in TCM research
投稿时间:2019-04-15  修订日期:2019-08-31
DOI:
中文关键词:  分类算法  中药研究  数据挖掘  文献分析法
英文关键词:classification algorithm  Research on traditional Chinese medicine  Data mining  Literature analysis
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
           
作者单位
吴地尧 Jiangxi University of traditional Chinese medicine
章新友 江西中医药大学
张玉娇 江西中医药大学
牛晓录 江西中医药大学
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中文摘要:
      目的 研究分类算法在中药科研中的应用及其进展,为中药领域数据挖掘的相关研究提供有益的参考和借鉴。方法 利用国内知网、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。结果 从311746篇文献中,整理得到345篇相关文献;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。结论 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。
英文摘要:
      Aim The aim is 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.Method We used CNKI, Wanfang and Weipu as the main literature retrieval platform to establish the literature database of the research object.Results 345 related articles were collected from 311,746 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.Conclusion 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.
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