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| Summary of data mining methods of traditional Chinese medicine syndromes on diabetes |
| Hits 908 Download times 533 Received:March 26, 2021 |
| View Full Text View/Add Comment Download reader |
| DOI
10.11656/j.issn.1672-1519.2021.07.15 |
| Key Words
data mining;diabetes;traditional Chinese medicine syndrome;decision tree;correlation analysis |
| Author Name | Affiliation | E-mail | | YANG Xiaonan | Tianjin Hongqiao District Hospital of Traditional Chinese Medicine, Tianjin 300131, China | | | ZHAO Tieniu | Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | zhaotieniu@163.com | | WANG Hongwu | Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China | |
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| Abstract
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| [Objective] To systematically summarize and analyz ethe characteristics of diabetes syndrome by using data mining method.[Methods] The literature of the characteristicson type 2 diabetes using data mining methods such as Logistic regression analysis,factor analysis,cluster analysis,decision tree,association rule,artificial neural network,structural equation model,Bayesian networks,and support vector machines in the past 10 years was summarized in this paper.[Results] The pathogenic elements of type 2 diabetes are summarized as four types of deficiency syndromes:qi deficiency,blood deficiency,yin deficiency and yang deficiency,and four excess syndromes of blood heat,blood stasis,fire prosperity,and damp-heat. The disease location elements are kidney,liver and spleen. It mainly include the syndrome of lung heat and fluid injury,the syndrome of stomach heat flourishing,the syndrome of qi and yin deficiency,the syndrome of kidney yang deficiency,the syndrome of qi deficiency,the syndrome of phlegm dampness,the syndrome blood stasis,the syndrome of kidney yin deficiency,the syndrome of yin and yang deficiency,and analyzes the advantages and disadvantages of data mining methods.[Conclusion] The data mining method is feasible for the analysis of the characteristics of diabetes syndrome. It not only provides objective basis for the diagnosis of diabetes syndrome,but also provides clinical guidance for TCM treatment of diabetes. |
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