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首页> 外文会议>IEEE International Conference on Bioinformatics and Biomedicine >Picking out herbs with analogous efficacy based on MeSH semantic similarity
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Picking out herbs with analogous efficacy based on MeSH semantic similarity

机译：基于MeSH语义相似度的具有相似功效的草药

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摘要

Since Nagoya protocol is entering into force, it has become very important issue to find alternative herb with similar efficacy. To find out alternative herbs, we adopted MeSH which contains semantic information derived from papers in the MEDLINE database which covers the medical, pharmaceutical, and biological worldwide research. Among 16 categories of MeSH, we chose 3 categories which are related to herbal efficacy. And we surveyed the advanced research addressing the MeSH semantic measure and selected the most accurate measure which is validated from the research. And we designed the algorithm which is composed of three steps; first we build corpus using MeSH tags of papers which are dealing with 4176 species of native Korean plants. Second we search papers of target herb and native plants respectively using scientific names and extract MeSH tags in it. Third we calculate the similarity between target herb and each native plant using MeSH similarity. In this paper, we proposed the algorithm to find out the herbs with similar efficacy. Now we are under implementation of the algorithm and are going to do in vitro experiments to measure the accuracy of algorithm.
机译：自名古屋议定书生效以来，寻找具有类似功效的替代草药已成为非常重要的问题。为了找到替代草药，我们采用了MeSH，其中包含从MEDLINE数据库中的论文中获得的语​​义信息，该数据库涵盖了医学，药学和生物学的全球研究。在MeSH的16个类别中，我们选择了3个与草药功效相关的类别。我们调查了针对MeSH语义测度的高级研究，并选择了经研究验证的最准确的测度。并且我们设计了由三个步骤组成的算法：首先，我们使用论文的MeSH标签构建语料库，这些论文涉及4176种韩国本土植物。其次，我们使用科学名称分别搜索目标草药和天然植物的论文，并在其中提取MeSH标签。第三，我们使用MeSH相似度计算目标草药与每种本地植物之间的相似度。在本文中，我们提出了一种算法来找出具有相似功效的草药。现在我们正在执行该算法，并将进行体外实验以测量算法的准确性。

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