基于数据挖掘的中医药治疗脊髓型颈椎病用药规律探析

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Abstract Objective To discuss the medication rules of traditional Chinese medicine in treating cervical spondylotic myelopathy based on the traditional Chinese medicine inheritance support system (V2.5) software. Methods The literatures related to the treatment of cervical spondylotic myelopathy with traditional Chinese medicine were collected from CNKI, VIP and Wanfang Data. The time limit for retrieval was from inception to December 2019. Data statistics and analysis were conducted by association rule analysis and other methods of traditional Chinese medicince inheritance support system. Results Seventy-three prescriptions of traditional Chinese medicine in treating cervical spondylotic myelopathy were collected, involving a total of 134 traditional Chinese medicine. The top five in the list of drug frequency were Radix Angelicae Sinensis, Radix Astragali seu Hedysari, Rhizoma Ligustici Chuanxiong, Radix Salviae Miltiorrhizae and Flos Carthami. The medication categories were mainly drugs of tonifying deficiency and promoting blood circulation. Twenty-eight rules of drug association were obtained by using the rule of composition. Further analysis evolved 18 core combinations and nine new prescriptions. Conclusion The traditional Chinese medicine for the treatment of cervical spondylotic myelopathy is mainly tonifying deficiency, as well as promoting blood circulation for removing blood stasis. The correlation between drugs is mainly based on the formula of Buyang Huanwu Decoction. The analysis results can provide theoretical basis for clinical use of prescriptions and drugs, and the development and research of new drug.

Key words： Cervical spondylotic myelopathy Traditional Chinese medicine Medication rule Data mining

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	QIN Xiaokuan1 SUN Kai1 ZHU Liguo1
	2 CHEN Xin1 WEI Xu1 YIN He1 YANG Bowen1 CHEN Lin3

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QIN Xiaokuan1 SUN Kai1 ZHU Liguo1,2 CHEN Xin1 WEI Xu1 YIN He1 YANG Bowen1 CHEN Lin3. Analysis on the medication rules of traditional Chinese medicine in treating cervical spondylotic myelopathy based on data mining[J]. 中国医药导报, 2021, 18(5): 150-154.

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http://www.yiyaodaobao.com.cn/EN/ OR http://www.yiyaodaobao.com.cn/EN/Y2021/V18/I5/150

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