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An analysis of thirty-five ancient medical case's syndrome differentiation and treatment regularity in treating Xiaoke: based on data mining
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DOI   10.11656/j.issn.1673-9043.2015.04.01
Key Words   data mining;ancient medical case;Xiaoke;diabetes mellitus
Author NameAffiliation
FANG Zhao-hui The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China
Anhui Academy of Chinese Medicine, Hefei 230031, China 
ZHAO Jin-dong The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China
Anhui Academy of Chinese Medicine, Hefei 230031, China 
LI Zhong-nan The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China 
XIN Ling The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China 
NI Ying-qun The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China 
LI Jia-yun The First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei 230031, China 
XIE Feng-tao Anhui University of Traditional Chinese Medicine, Hefei 230031, China 
YANG Xue Anhui University of Traditional Chinese Medicine, Hefei 230031, China 
Abstract
    [Objective] Analyze the ancient medical case regularity of dialectical thinking, prescription, herbs in diagnosing and treating Xiaoke. [Methods] Input thirty-five Xiaoke ancient medical case's related information and resources by traditional Chinese medical(TCM) case acquisition system, data preprocessing and transformation of key card information in ancient medical case. Using the method of descriptive statistics, cluster analysis and association rules to analyze syndrome differentiation and treatment regularity. [Results] The common symptoms of Xiaoke patients were polydipsia, hunger, diuresis, thin, and so on. The common TCM syndromes of Xiaoke were lung and stomach heat, kidney yin deficiency, liver and kidney yin deficiency, and so on. The common therapies were clearing heat lung and stomach, clearing heat stomach and nourishing yin, and nourishing the liver and kidney. The commonly used formulas were experience, Yunv Decoction and Baihu decoction, and so on. The commonly used herbs were anemarrhena rhizome, ophiopogon, licorice, and so on. The complex network analysis diagram showed that anemarrhena rhizome, radix rehmanniae preparata, radix rehmanniae recens, licorice, ophiopogon were the core herbs in the prescriptions, especially anemarrhena rhizome.The cluster analysis showed that herbs combination could be divided into 4 categories. That was clearing heat and nourishing yin, nourishing liver and kidney, astringent, purgative activity. [Conclusion] It is a good technology to summarize the clinical experience of diagnosis and treatment of Xiaoke's symptoms, syndrome, therapies, formulas, herbs by data mining.

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