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Rule-based text mining of traditional Chinese medicine patterns with Chinese herbal medicines and symptoms on cirrhosis

机译:基于规则的中草药和肝硬化症状的文本模式文本挖掘

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Through several thousands years of clinical research and theoretical thoughts, traditional Chinese medicine (TCM) has accumulated rich experiences on cirrhosis. However, the usage of Chinese herbal medicines in formulae are flexible in TCM clinical practice according to pattern differentiation. So, it is important to get the composition rules of Chinese herbal medicines through literatures. Based on the keyword list of Chinese herbal medicine, pattern, and symptoms, through the keyword filtering skill, we got the lists of Chinese herbal medicines. However, for Chinese herbal medicines, they are not only mentioned in the plain format of herb names, but also densely described in the form of formulae (also called Chu-Fang, Yao-Fang or Tang-Yao in Chinese). As formulae are composed by Chinese herbal medicines according the theory of traditional Chinese medicine, so, it is necessary to filtering them out and de-compose them back into specified Chinese herbal medicines. In this study, take cirrhosis for example, we explored the composition-rules of Chinese herbal medicines and the network of TCM pattern with them. By doing this, we might get a deeper understanding of composition-rules of Chinese herbal medicines in clinical practice which might be a better reference for both clinical practise and medical research.
机译:通过几千年的临床研究和理论思想,中医(TCM)积累了丰富的肝硬化经验。然而,根据模式分化,中药临床实践中的中草药在公式中的使用是灵活的。因此,重要的是通过文献来获得中草药的组成规则。根据中草药,模式和症状的关键词列表,通过关键词过滤技能,我们得到了中草药的列表。然而,对于中草药,它们不仅以普通的草本植物形式提及,而且以公式(也称为Chu-Fang,Yao-fang或Tang-Yao的形式密集地描述)。随着公式由中草药根据中医理论组成,所以,有必要将它们过滤并将其解脱回到特定的中草药中。在这项研究中,服用肝硬化,我们探讨了中草药的成分规则和TCM模式网络与它们。通过这样做,我们可能会更深入地了解中草药在临床实践中的构成规则,这可能是临床实践和医学研究的更好参考。

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