基于CNM-Centrality算法的失眠癥辨證論治中核心中藥及配伍研究
發(fā)布時(shí)間:2018-07-31 20:20
【摘要】:選取失眠癥作為研究對(duì)象,采用復(fù)雜網(wǎng)絡(luò)節(jié)點(diǎn)中心性評(píng)估和聚類分析方法,探索失眠癥辨證論治中核心中藥及配伍規(guī)律。首先,通過構(gòu)建失眠中藥網(wǎng)絡(luò)模型,引入復(fù)雜網(wǎng)絡(luò)節(jié)點(diǎn)中心性評(píng)估單指標(biāo)算法,挖掘中藥網(wǎng)絡(luò)的核心節(jié)點(diǎn);其次,利用基于節(jié)點(diǎn)中心性的聚類算法CNM-Centrality對(duì)中藥網(wǎng)絡(luò)進(jìn)行聚類劃分,準(zhǔn)確地找到藥物間的配伍規(guī)律。
[Abstract]:Insomnia was selected as the research object, and the central evaluation and cluster analysis of complex network nodes were used to explore the core Chinese medicine and its compatibility in the treatment of insomnia based on differentiation of symptoms and signs. Firstly, by constructing the insomnia Chinese medicine network model, introducing the single index algorithm to evaluate the centrality of the complex network nodes, mining the core nodes of the traditional Chinese medicine network. Secondly, using the node-centric clustering algorithm CNM-Centrality to cluster the traditional Chinese medicine network. Find out the law of compatibility between drugs accurately.
【作者單位】: 湖北中醫(yī)藥大學(xué)信息工程學(xué)院;
【基金】:2017年度湖北省教育廳科研計(jì)劃項(xiàng)目—基于優(yōu)化聚類算法的中醫(yī)失眠證候判別分析研究(Q20172005)
【分類號(hào)】:O157.5;R256.23
,
本文編號(hào):2156726
[Abstract]:Insomnia was selected as the research object, and the central evaluation and cluster analysis of complex network nodes were used to explore the core Chinese medicine and its compatibility in the treatment of insomnia based on differentiation of symptoms and signs. Firstly, by constructing the insomnia Chinese medicine network model, introducing the single index algorithm to evaluate the centrality of the complex network nodes, mining the core nodes of the traditional Chinese medicine network. Secondly, using the node-centric clustering algorithm CNM-Centrality to cluster the traditional Chinese medicine network. Find out the law of compatibility between drugs accurately.
【作者單位】: 湖北中醫(yī)藥大學(xué)信息工程學(xué)院;
【基金】:2017年度湖北省教育廳科研計(jì)劃項(xiàng)目—基于優(yōu)化聚類算法的中醫(yī)失眠證候判別分析研究(Q20172005)
【分類號(hào)】:O157.5;R256.23
,
本文編號(hào):2156726
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