首页> 外文期刊>Journal of Ethnopharmacology: An Interdisciplinary Journal Devoted to Bioscientific Research on Indigenous Drugs >A data mining approach to selecting herbs with similar efficacy: Targeted selection methods based on medical subject headings (MeSH)
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A data mining approach to selecting herbs with similar efficacy: Targeted selection methods based on medical subject headings (MeSH)

机译:一种具有相似效力的草药的数据挖掘方法:基于医学主题标题的目标选择方法(网格)

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摘要

Ethno-pharmacological relevance: Natural products have long been the most important source of ingredients in the discovery of new drugs. Moreover, since the Nagoya Protocol, finding alternative herbs with similar efficacy in traditional medicine has become a very important issue. Although random selection is a common method of finding ethno-medicinal herbs of similar efficacy, it proved to be less effective; therefore, this paper proposes a novel targeted selection method using data mining approaches in the MEDLINE database in order to identify and select herbs with a similar degree of efficacy.
机译:民族药理学相关性:天然产品长期以来一直是发现新药中最重要的成分来源。 此外,由于名古屋协议,在传统医学中寻找具有类似效力的替代草药已成为一个非常重要的问题。 虽然随机选择是寻找类似效力的血管药草的常见方法,但事实证明是较低的; 因此,本文提出了使用Medline数据库中的数据挖掘方法的新型针对性选择方法,以识别和选择具有相似程度的疗效的草药。

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